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Expo Talk Panel
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Sun 1:30 |
Google Dataset Search: Building an open ecosystem for dataset discovery Mary Ellen Perry |
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Expo Talk Panel
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Sun 4:00 |
On-Device Machine Learning with Apple Gaurav Kapoor |
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Expo Talk Panel
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Sun 5:15 |
Introducing the AI Model Efficiency Toolkit (AIMET) Mary Ellen Perry |
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Expo Talk Panel
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Sun 6:30 |
Baidu AutoDL: Automated and Interpretable Deep Learning Bolei Zhou, Yi Yang, Quanshi Zhang, Dejing Dou, Haoyi Xiong, Jiahui Yu, Humphrey Shi, Linchao Zhu, Xingjian Li |
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Expo Talk Panel
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Sun 7:45 |
AutoAI at IBM Research Mary Ellen Perry |
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AffinityWorkshop
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Sun 23:00 |
Social #1: Informal Socializing |
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AffinityWorkshop
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Mon 0:00 |
Invited Talk: Sara van de Geer on Total Variation Regularization Sara A van de Geer |
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Tutorial
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Mon 1:00 |
Machine Learning for Healthcare: Challenges, Methods, Frontiers Mihaela van der Schaar |
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Test Of Time
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Mon 4:00 |
Test of Time: Gaussian Process Optimization in the Bandit Settings: No Regret and Experimental Design Niranjan Srinivas, Andreas Krause, Sham Kakade, Matthias Seeger |
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Tutorial
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Mon 5:00 |
Causal Reinforcement Learning Elias Bareinboim |
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AffinityWorkshop
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Mon 5:00 |
LatinX in AI Workshop Nils Murrugarra-Llerena, Pedro Braga, Walter Mayor, Karla Caballero, Ivan Dario Arraut Guerrero, Juan Banda, Fabian Latorre, Kevin Bello, Leobardo Morales, Leonel Rozo, Angy M Flores-Saravia |
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Tutorial
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Mon 5:00 |
Epidemiology and Machine Learning Elaine Nsoesie |
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AffinityWorkshop
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Mon 7:40 |
Social #2: Informal Socializing |
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AffinityWorkshop
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Mon 9:45 |
Breakout Session 3.7: Not Just Another Application - Applications for Social Good |
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Poster
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Tue 7:00 |
Evaluating the Performance of Reinforcement Learning Algorithms Scott Jordan, Yash Chandak, Daniel Cohen, Mengxue Zhang, Philip Thomas |
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Poster
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Tue 7:00 |
Differentiating through the Fréchet Mean Aaron Lou, Isay Katsman, Qingxuan Jiang, Serge Belongie, Sernam Lim Lim, Christopher De Sa |
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Poster
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Tue 7:00 |
Generating Programmatic Referring Expressions via Program Synthesis Jiani Huang, Calvin Smith, Osbert Bastani, Rishabh Singh, Aws Albarghouthi, Mayur Naik |
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Poster
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Tue 7:00 |
What Can Learned Intrinsic Rewards Capture? Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh |
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Poster
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Tue 7:00 |
Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks Using PAC-Bayesian Analysis Yusuke Tsuzuku, Issei Sato, Masashi Sugiyama |
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Poster
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Tue 7:00 |
FetchSGD: Communication-Efficient Federated Learning with Sketching Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph E Gonzalez, Raman Arora |
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Poster
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Tue 7:00 |
DeltaGrad: Rapid retraining of machine learning models Yinjun Wu, Edgar Dobriban, Susan B Davidson |
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Poster
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Tue 7:00 |
Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting Nic Dalmasso, Rafael Izbicki, Ann Lee |
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Poster
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Tue 7:00 |
Two Routes to Scalable Credit Assignment without Weight Symmetry Daniel Kunin, Aran Nayebi, Javier Sagastuy-Brena, Surya Ganguli, Jon Bloom, Daniel Yamins |
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Poster
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Tue 7:00 |
Mutual Transfer Learning for Massive Data Ching-Wei Cheng, Xingye Qiao, Guang Cheng |
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Poster
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Tue 7:00 |
Familywise Error Rate Control by Interactive Unmasking Boyan Duan, Aaditya Ramdas, Larry Wasserman |
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Poster
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Tue 7:00 |
Randomized Smoothing of All Shapes and Sizes Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya Razenshteyn, Jerry Li |
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Poster
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Tue 7:00 |
Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data Lan-Zhe Guo, Zhen-Yu Zhang, Yuan Jiang, Yufeng Li, Zhi-Hua Zhou |
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Poster
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Tue 7:00 |
Stochastic Optimization for Non-convex Inf-Projection Problems Yan Yan, Yi Xu, Lijun Zhang, Wang Xiaoyu, Tianbao Yang |
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Poster
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Tue 7:00 |
On the Noisy Gradient Descent that Generalizes as SGD Jingfeng Wu, Wenqing Hu, Haoyi Xiong, Jun Huan, Vladimir Braverman, Zhanxing Zhu |
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Poster
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Tue 7:00 |
Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach Martin Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky, Richard Zemel, Craig Boutilier |
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Poster
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Tue 7:00 |
Tensor denoising and completion based on ordinal observations Chanwoo Lee, Miaoyan Wang |
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Poster
|
Tue 7:00 |
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang |
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Poster
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Tue 7:00 |
Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study Tanner Fiez, Benjamin Chasnov, Lillian Ratliff |
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Poster
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Tue 7:00 |
An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm Chris DeCarolis, Mukul A Ram, Seyed Esmaeili, Yu-Xiang Wang, Furong Huang |
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Poster
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Tue 7:00 |
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, HAN LI, Jian Xu, Kun Gai |
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Poster
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Tue 7:00 |
Student Specialization in Deep Rectified Networks With Finite Width and Input Dimension Yuandong Tian |
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Poster
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Tue 7:00 |
Maximum-and-Concatenation Networks Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin |
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Poster
|
Tue 7:00 |
FedBoost: A Communication-Efficient Algorithm for Federated Learning Jenny Hamer, Mehryar Mohri, Ananda Theertha Suresh |
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Poster
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Tue 7:00 |
Streaming k-Submodular Maximization under Noise subject to Size Constraint Lan N. Nguyen, My T. Thai |
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Poster
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Tue 7:00 |
Online Learning for Active Cache Synchronization Andrey Kolobov, Sebastien Bubeck, Julian Zimmert |
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Poster
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Tue 8:00 |
Angular Visual Hardness Beidi Chen, Weiyang Liu, Zhiding Yu, Jan Kautz, Anshumali Shrivastava, Animesh Garg, Anima Anandkumar |
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Poster
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Tue 8:00 |
PoWER-BERT: Accelerating BERT Inference via Progressive Word-vector Elimination Saurabh Goyal, Anamitra Roy Choudhury, Saurabh Raje, Venkatesan Chakaravarthy, Yogish Sabharwal, Ashish Verma |
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Poster
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Tue 8:00 |
Finite-Time Convergence in Continuous-Time Optimization Orlando Romero, mouhacine Benosman |
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Poster
|
Tue 8:00 |
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis Aman Sinha, Matthew O'Kelly, Hongrui Zheng, Rahul Mangharam, John Duchi, Russ Tedrake |
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Poster
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Tue 8:00 |
Closing the convergence gap of SGD without replacement Shashank Rajput, Anant Gupta, Dimitris Papailiopoulos |
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Poster
|
Tue 8:00 |
Batch Reinforcement Learning with Hyperparameter Gradients Byung-Jun Lee, Jongmin Lee, Peter Vrancx, Dongho Kim, Kee-Eung Kim |
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Poster
|
Tue 8:00 |
Uncertainty-Aware Lookahead Factor Models for Quantitative Investing Lakshay Chauhan, John Alberg, Zachary Lipton |
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AffinityWorkshop
|
Tue 8:10 |
Queering Machine Learning Shakir Mohamed |
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Poster
|
Tue 9:00 |
Neural Contextual Bandits with UCB-based Exploration Dongruo Zhou, Lihong Li, Quanquan Gu |
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Poster
|
Tue 9:00 |
Context Aware Local Differential Privacy Jayadev Acharya, Kallista Bonawitz, Peter Kairouz, Daniel Ramage, Ziteng Sun |
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Poster
|
Tue 9:00 |
The Many Shapley Values for Model Explanation Mukund Sundararajan, Amir Najmi |
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Poster
|
Tue 9:00 |
Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach Junzhe Zhang |
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Poster
|
Tue 9:00 |
Learning Algebraic Multigrid Using Graph Neural Networks Ilay Luz, Meirav Galun, Haggai Maron, Ronen Basri, Irad Yavneh |
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Poster
|
Tue 9:00 |
Scalable Deep Generative Modeling for Sparse Graphs Hanjun Dai, Azade Nazi, Yujia Li, Bo Dai, Dale Schuurmans |
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Poster
|
Tue 9:00 |
Obtaining Adjustable Regularization for Free via Iterate Averaging Jingfeng Wu, Vladimir Braverman, Lin Yang |
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Poster
|
Tue 9:00 |
Bayesian Graph Neural Networks with Adaptive Connection Sampling Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian |
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Poster
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Tue 9:00 |
A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change Salman Sadiq Shuvo, Yasin Yilmaz, Alan Bush, Mark Hafen |
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|
Poster
|
Tue 9:00 |
Inverse Active Sensing: Modeling and Understanding Timely Decision-Making Daniel Jarrett, Mihaela van der Schaar |
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Poster
|
Tue 9:00 |
Deep k-NN for Noisy Labels Dara Bahri, Heinrich Jiang, Maya Gupta |
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Poster
|
Tue 9:00 |
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, Zico Kolter |
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Poster
|
Tue 9:00 |
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeffrey Clune, Ken Stanley |
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Poster
|
Tue 9:00 |
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization Xiangning Chen, Cho-Jui Hsieh |
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|
Poster
|
Tue 10:00 |
Global Concavity and Optimization in a Class of Dynamic Discrete Choice Models Yiding Feng, Ekaterina Khmelnitskaya, Denis Nekipelov |
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Poster
|
Tue 10:00 |
Selective Dyna-style Planning Under Limited Model Capacity Zaheer Abbas, Samuel Sokota, Erin Talvitie, Martha White |
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Poster
|
Tue 10:00 |
Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning Tom Jurgenson, Or Avner, Edward Groshev, Aviv Tamar |
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Poster
|
Tue 10:00 |
On the Theoretical Properties of the Network Jackknife Qiaohui Lin, Robert Lunde, Purnamrita Sarkar |
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Poster
|
Tue 10:00 |
Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing Yuxuan Xie, Jilles Dibangoye, Olivier Buffet |
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Poster
|
Tue 10:00 |
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi, Samuel Stanton, Pavel Izmailov, Andrew Wilson |
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Poster
|
Tue 10:00 |
Training Deep Energy-Based Models with f-Divergence Minimization Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon |
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Poster
|
Tue 10:00 |
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods Adam Stooke, Joshua Achiam, Pieter Abbeel |
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Poster
|
Tue 10:00 |
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning Amin Rakhsha, Goran Radanovic, Rati Devidze, Jerry Zhu, Adish Singla |
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Poster
|
Tue 10:00 |
Fully Parallel Hyperparameter Search: Reshaped Space-Filling Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jeremy Rapin, Morgane Riviere, Fabien Teytaud, Olivier Teytaud, Nicolas Usunier |
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Poster
|
Tue 11:00 |
LowFER: Low-rank Bilinear Pooling for Link Prediction Saadullah Amin, Stalin Varanasi, Katherine Ann Dunfield, Günter Neumann |
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Poster
|
Tue 11:00 |
Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation Amr Mohamed Alexandari, Anshul Kundaje, Avanti Shrikumar |
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Poster
|
Tue 11:00 |
Smaller, more accurate regression forests using tree alternating optimization Arman Zharmagambetov, Miguel Carreira-Perpinan |
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|
Poster
|
Tue 11:00 |
Quantum Expectation-Maximization for Gaussian mixture models Alessandro Luongo, Iordanis Kerenidis, Anupam Prakash |
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|
Poster
|
Tue 11:00 |
Adversarial Robustness for Code Pavol Bielik, Martin Vechev |
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|
Poster
|
Tue 11:00 |
A Swiss Army Knife for Minimax Optimal Transport Sofien Dhouib, Ievgen Redko, Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban |
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Poster
|
Tue 11:00 |
Stochastically Dominant Distributional Reinforcement Learning John Martin, Michal Lyskawinski, Xiaohu Li, Brendan Englot |
|
|
Poster
|
Tue 11:00 |
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma |
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|
Poster
|
Tue 12:00 |
On Contrastive Learning for Likelihood-free Inference Conor Durkan, Iain Murray, George Papamakarios |
|
|
Poster
|
Tue 12:00 |
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization GEOFFREY Negiar, Gideon Dresdner, Alicia Yi-Ting Tsai, Laurent El Ghaoui, Francesco Locatello, Robert Freund, Fabian Pedregosa |
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Poster
|
Tue 12:00 |
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Zhitao Ying, Jure Leskovec, Peter Battaglia |
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Poster
|
Tue 12:00 |
Constructive Universal High-Dimensional Distribution Generation through Deep ReLU Networks Dmytro Perekrestenko, Stephan Müller, Helmut Bölcskei |
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Poster
|
Tue 13:00 |
Linear Mode Connectivity and the Lottery Ticket Hypothesis Jonathan Frankle, Gintare Karolina Dziugaite, Daniel Roy, Michael Carbin |
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|
Poster
|
Tue 13:00 |
Supervised learning: no loss no cry Richard Nock, Aditya Menon |
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|
Poster
|
Tue 13:00 |
Online Convex Optimization in the Random Order Model Dan Garber, Gal Korcia, Kfir Levy |
|
|
Poster
|
Tue 13:00 |
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks David Stutz, Matthias Hein, Bernt Schiele |
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|
Poster
|
Tue 13:00 |
Bayesian Differential Privacy for Machine Learning Aleksei Triastcyn, Boi Faltings |
|
|
Poster
|
Tue 13:00 |
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation Marc Brockschmidt |
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|
Poster
|
Tue 13:00 |
Latent Space Factorisation and Manipulation via Matrix Subspace Projection Xiao Li, Chenghua Lin, Ruizhe Li, Chaozheng Wang, Frank Guerin |
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|
Poster
|
Tue 13:00 |
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions Ahmed Alaa, Mihaela van der Schaar |
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Poster
|
Tue 13:00 |
Implicit differentiation of Lasso-type models for hyperparameter optimization Quentin Bertrand, Quentin Klopfenstein, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon |
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Poster
|
Tue 14:00 |
Learning Reasoning Strategies in End-to-End Differentiable Proving Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel |
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Poster
|
Tue 14:00 |
On the Iteration Complexity of Hypergradient Computation Riccardo Grazzi, Luca Franceschi, Massimiliano Pontil, Saverio Salzo |
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Poster
|
Tue 14:00 |
Why Are Learned Indexes So Effective? Paolo Ferragina, Fabrizio Lillo, Giorgio Vinciguerra |
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Poster
|
Tue 14:00 |
Learning Similarity Metrics for Numerical Simulations Georg Kohl, Kiwon Um, Nils Thuerey |
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|
Poster
|
Tue 14:00 |
Improving Molecular Design by Stochastic Iterative Target Augmentation Kevin Yang, Wengong Jin, Kyle Swanson, Regina Barzilay, Tommi Jaakkola |
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Poster
|
Tue 14:00 |
Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently Asaf Cassel, Alon Cohen, Tomer Koren |
|
|
Poster
|
Tue 14:00 |
Extreme Multi-label Classification from Aggregated Labels Yanyao Shen, Hsiang-Fu Yu, Sujay Sanghavi, Inderjit Dhillon |
|
|
Poster
|
Tue 14:00 |
Finding trainable sparse networks through Neural Tangent Transfer Tianlin Liu, Friedemann Zenke |
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Poster
|
Tue 15:00 |
Double Reinforcement Learning for Efficient and Robust Off-Policy Evaluation Nathan Kallus, Masatoshi Uehara |
|
|
Poster
|
Tue 15:00 |
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations Ching-Yao Chuang, Antonio Torralba, Stefanie Jegelka |
|
|
Poster
|
Tue 15:00 |
When deep denoising meets iterative phase retrieval Yaotian Wang, Xiaohang Sun, Jason Fleischer |
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|
Poster
|
Tue 18:00 |
Logistic Regression for Massive Data with Rare Events HaiYing Wang |
|
|
Poster
|
Tue 18:00 |
Accelerating the diffusion-based ensemble sampling by non-reversible dynamics Futoshi Futami, Issei Sato, Masashi Sugiyama |
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|
Poster
|
Tue 18:00 |
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems Kaixuan Wei, Angelica I Aviles-Rivero, Jingwei Liang, Ying Fu, Carola-Bibiane Schönlieb, Hua Huang |
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Poster
|
Tue 19:00 |
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan ZENG, Yuan Yao |
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| Wed 0:00 |
Queer in AI Social (I) Alex Markham, Ti John |
||
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Poster
|
Wed 5:00 |
Learning Opinions in Social Networks Vincent Conitzer, Debmalya Panigrahi, Hanrui Zhang |
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|
Poster
|
Wed 5:00 |
Sequential Cooperative Bayesian Inference Junqi Wang, Pei Wang, Patrick Shafto |
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|
Poster
|
Wed 5:00 |
Operation-Aware Soft Channel Pruning using Differentiable Masks Minsoo Kang, Bohyung Han |
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|
Poster
|
Wed 5:00 |
Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions Jingzhao Zhang, Hongzhou Lin, Stefanie Jegelka, Suvrit Sra, Ali Jadbabaie |
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Poster
|
Wed 5:00 |
Accelerating Large-Scale Inference with Anisotropic Vector Quantization Ruiqi Guo, Philip Sun, Erik Lindgren, Quan Geng, David Simcha, Felix Chern, Sanjiv Kumar |
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|
Poster
|
Wed 5:00 |
Convolutional dictionary learning based auto-encoders for natural exponential-family distributions Bahareh Tolooshams, Andrew Song, Simona Temereanca, Demba Ba |
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|
Poster
|
Wed 5:00 |
Preference Modeling with Context-Dependent Salient Features Amanda Bower, Laura Balzano |
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|
Poster
|
Wed 5:00 |
Schatten Norms in Matrix Streams: Hello Sparsity, Goodbye Dimension Vladimir Braverman, Robert Krauthgamer, Aditya Krishnan, Roi Sinoff |
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|
Poster
|
Wed 5:00 |
Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics Debjani Saha, Candice Schumann, Duncan McElfresh, John P Dickerson, Michelle Mazurek, Michael Tschantz |
|
|
Poster
|
Wed 5:00 |
Progressive Graph Learning for Open-Set Domain Adaptation Yadan Luo, Zijian Wang, Zi Huang, Mahsa Baktashmotlagh |
|
|
Poster
|
Wed 5:00 |
Learnable Group Transform For Time-Series Romain Cosentino, Behnaam Aazhang |
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|
Poster
|
Wed 5:00 |
Consistent Estimators for Learning to Defer to an Expert Hussein Mozannar, David Sontag |
|
|
Poster
|
Wed 5:00 |
Causal Effect Identifiability under Partial-Observability Sanghack Lee, Elias Bareinboim |
|
|
Poster
|
Wed 5:00 |
Learning Quadratic Games on Networks Yan Leng, Xiaowen Dong, Junfeng Wu, Alex `Sandy' Pentland |
|
|
Poster
|
Wed 5:00 |
Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems? Hongchang Gao, Heng Huang |
|
|
Poster
|
Wed 5:00 |
Online Bayesian Moment Matching based SAT Solver Heuristics Haonan Duan, Saeed Nejati, George Trimponias, Pascal Poupart, Vijay Ganesh |
|
|
Poster
|
Wed 5:00 |
InstaHide: Instance-hiding Schemes for Private Distributed Learning Yangsibo Huang, Zhao Song, Kai Li, Sanjeev Arora |
|
|
Poster
|
Wed 5:00 |
Data preprocessing to mitigate bias: A maximum entropy based approach L. Elisa Celis, Vijay Keswani, Nisheeth K. Vishnoi |
|
|
Poster
|
Wed 5:00 |
The Cost-free Nature of Optimally Tuning Tikhonov Regularizers and Other Ordered Smoothers Pierre C Bellec, Dana Yang |
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|
Poster
|
Wed 5:00 |
Moniqua: Modulo Quantized Communication in Decentralized SGD Yucheng Lu, Christopher De Sa |
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|
Poster
|
Wed 5:00 |
SIGUA: Forgetting May Make Learning with Noisy Labels More Robust Bo Han, Gang Niu, Xingrui Yu, QUANMING YAO, Miao Xu, Ivor Tsang, Masashi Sugiyama |
|
|
Poster
|
Wed 5:00 |
Population-Based Black-Box Optimization for Biological Sequence Design Christof Angermueller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy Colwell, D. Sculley |
|
|
Poster
|
Wed 5:00 |
Adaptive Droplet Routing in Digital Microfluidic Biochips Using Deep Reinforcement Learning Tung-Che Liang, Zhanwei Zhong, Yaas Bigdeli, Tsung-Yi Ho, Krishnendu Chakrabarty, Richard Fair |
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|
Poster
|
Wed 5:00 |
What can I do here? A Theory of Affordances in Reinforcement Learning Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, Dave Abel, Doina Precup |
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|
Poster
|
Wed 5:00 |
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction Filipe de Avila Belbute-Peres, Thomas Economon, Zico Kolter |
|
|
Poster
|
Wed 5:00 |
Variational Label Enhancement Ning Xu, Jun Shu, Yun-Peng Liu, Xin Geng |
|
|
Poster
|
Wed 5:00 |
Identifying Statistical Bias in Dataset Replication Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Jacob Steinhardt, Aleksander Madry |
|
|
Poster
|
Wed 5:00 |
Sub-linear Memory Sketches for Near Neighbor Search on Streaming Data Benjamin Coleman, Richard Baraniuk, Anshumali Shrivastava |
|
|
Poster
|
Wed 5:00 |
The Differentiable Cross-Entropy Method Brandon Amos, Denis Yarats |
|
|
Poster
|
Wed 5:00 |
An Optimistic Perspective on Offline Deep Reinforcement Learning Rishabh Agarwal, Dale Schuurmans, Mohammad Norouzi |
|
|
Poster
|
Wed 8:00 |
Self-Modulating Nonparametric Event-Tensor Factorization Zheng Wang, Xinqi Chu, Shandian Zhe |
|
|
Poster
|
Wed 8:00 |
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks Ahmed T. Elthakeb, Prannoy Pilligundla, FatemehSadat Mireshghallah, Alexander Cloninger, Hadi Esmaeilzadeh |
|
|
Poster
|
Wed 8:00 |
Circuit-Based Intrinsic Methods to Detect Overfitting Satrajit Chatterjee, Alan Mishchenko |
|
|
Poster
|
Wed 8:00 |
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings Jesse Zhang, Brian Cheung, Chelsea Finn, Sergey Levine, Dinesh Jayaraman |
|
|
Poster
|
Wed 8:00 |
Boosting Deep Neural Network Efficiency with Dual-Module Inference Liu Liu, Lei Deng, Zhaodong Chen, yuke wang, Shuangchen Li, Jingwei Zhang, Yihua Yang, Zhenyu Gu, Yufei Ding, Yuan Xie |
|
|
Poster
|
Wed 8:00 |
Predicting deliberative outcomes Vikas K Garg, Tommi Jaakkola |
|
|
Poster
|
Wed 8:00 |
Sparse Shrunk Additive Models guodong liu, Hong Chen, Heng Huang |
|
|
Poster
|
Wed 8:00 |
Adversarial Mutual Information for Text Generation Boyuan Pan, Yazheng Yang, Kaizhao Liang, Bhavya Kailkhura, Zhongming Jin, Xian-Sheng Hua, Deng Cai, Bo Li |
|
|
Poster
|
Wed 8:00 |
Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network Javier Turek, Shailee Jain, Vy Vo, Mihai Capotă, Alexander Huth, Theodore Willke |
|
|
Poster
|
Wed 8:00 |
Class-Weighted Classification: Trade-offs and Robust Approaches Neil Xu, Chen Dan, Justin Khim, Pradeep Ravikumar |
|
|
Poster
|
Wed 8:00 |
Imputer: Sequence Modelling via Imputation and Dynamic Programming William Chan, Chitwan Saharia, Geoffrey Hinton, Mohammad Norouzi, Navdeep Jaitly |
|
|
Poster
|
Wed 9:00 |
Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning Jize Zhang, Bhavya Kailkhura, T. Yong-Jin Han |
|
|
Poster
|
Wed 9:00 |
Margin-aware Adversarial Domain Adaptation with Optimal Transport Sofien Dhouib, Ievgen Redko, Carole Lartizien |
|
|
Poster
|
Wed 9:00 |
Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints Cong Shen, Zhiyang Wang, Sofia Villar, Mihaela van der Schaar |
|
|
Poster
|
Wed 9:00 |
On the consistency of top-k surrogate losses Forest Yang, Sanmi Koyejo |
|
|
Poster
|
Wed 10:00 |
The Sample Complexity of Best-$k$ Items Selection from Pairwise Comparisons Wenbo Ren, Jia Liu, Ness Shroff |
|
|
Poster
|
Wed 10:00 |
Hierarchical Verification for Adversarial Robustness Cong Han Lim, Raquel Urtasun, Ersin Yumer |
|
|
Poster
|
Wed 10:00 |
The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent Karthik Abinav Sankararaman, Soham De, Zheng Xu, W. Ronny Huang, Tom Goldstein |
|
|
Poster
|
Wed 10:00 |
Learning to Simulate and Design for Structural Engineering Kai-Hung Chang, Chin-Yi Cheng |
|
|
Poster
|
Wed 10:00 |
NetGAN without GAN: From Random Walks to Low-Rank Approximations Luca Rendsburg, Holger Heidrich, Ulrike von Luxburg |
|
|
Poster
|
Wed 10:00 |
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors Mike Dusenberry, Ghassen Jerfel, Yeming Wen, Yian Ma, Jasper Snoek, Katherine Heller, Balaji Lakshminarayanan, Dustin Tran |
|
|
Poster
|
Wed 10:00 |
Fast computation of Nash Equilibria in Imperfect Information Games Remi Munos, Julien Perolat, Jean-Baptiste Lespiau, Mark Rowland, Bart De Vylder, Marc Lanctot, Finbarr Timbers, Daniel Hennes, Shayegan Omidshafiei, Audrunas Gruslys, Mohammad Gheshlaghi Azar, Edward Lockhart, Karl Tuyls |
|
|
Poster
|
Wed 11:00 |
DeBayes: a Bayesian Method for Debiasing Network Embeddings Maarten Buyl, Tijl De Bie |
|
|
Poster
|
Wed 11:00 |
“Other-Play” for Zero-Shot Coordination Hengyuan Hu, Alexander Peysakhovich, Adam Lerer, Jakob Foerster |
|
|
Poster
|
Wed 11:00 |
From Local SGD to Local Fixed-Point Methods for Federated Learning Grigory Malinovsky, Dmitry Kovalev, Elnur Gasanov, Laurent CONDAT, Peter Richtarik |
|
|
Poster
|
Wed 11:00 |
Feature Selection using Stochastic Gates Yutaro Yamada, Ofir Lindenbaum, Sahand Negahban, Yuval Kluger |
|
|
Poster
|
Wed 11:00 |
Revisiting Fundamentals of Experience Replay William Fedus, Prajit Ramachandran, Rishabh Agarwal, Yoshua Bengio, Hugo Larochelle, Mark Rowland, Will Dabney |
|
|
Poster
|
Wed 11:00 |
Learning Near Optimal Policies with Low Inherent Bellman Error Andrea Zanette, Alessandro Lazaric, Mykel Kochenderfer, Emma Brunskill |
|
|
Poster
|
Wed 11:00 |
Robust Graph Representation Learning via Neural Sparsification Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang |
|
|
Poster
|
Wed 11:00 |
Fairwashing explanations with off-manifold detergent Christopher Anders, Plamen Pasliev, Ann-Kathrin Dombrowski, Klaus-robert Mueller, Pan Kessel |
|
|
Poster
|
Wed 11:00 |
Encoding Musical Style with Transformer Autoencoders Kristy Choi, Curtis "Fjord" Hawthorne, Ian Simon, Monica Dinculescu, JesseEngel Engel |
|
|
Poster
|
Wed 11:00 |
Multidimensional Shape Constraints Maya Gupta, Erez Louidor, Oleksandr Mangylov, Nobu Morioka, Taman Narayan, Sen Zhao |
|
|
Poster
|
Wed 12:00 |
Optimal Continual Learning has Perfect Memory and is NP-hard Jeremias Knoblauch, Hisham Husain, Tom Diethe |
|
|
Poster
|
Wed 12:00 |
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization Zhize Li, Dmitry Kovalev, Xun Qian, Peter Richtarik |
|
|
Poster
|
Wed 12:00 |
Curvature-corrected learning dynamics in deep neural networks Dongsung Huh |
|
|
Poster
|
Wed 12:00 |
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters Subho Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar Iyer |
|
|
Poster
|
Wed 12:00 |
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows Rob Cornish, Anthony Caterini, George Deligiannidis, Arnaud Doucet |
|
|
Poster
|
Wed 12:00 |
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits Ilai Bistritz, Tavor Z Baharav, Amir Leshem, Nicholas Bambos |
|
|
Poster
|
Wed 12:00 |
Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-time Zahra Monfared, Daniel Durstewitz |
|
|
Poster
|
Wed 12:00 |
T-Basis: a Compact Representation for Neural Networks Anton Obukhov, Maxim Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool |
|
|
Poster
|
Wed 12:00 |
Adversarial Nonnegative Matrix Factorization lei luo, yanfu Zhang, Heng Huang |
|
|
Poster
|
Wed 13:00 |
Attentive Group Equivariant Convolutional Networks David Romero, Erik Bekkers, Jakub Tomczak, Mark Hoogendoorn |
|
|
Poster
|
Wed 13:00 |
Estimating the Error of Randomized Newton Methods: A Bootstrap Approach Miles Lopes, Jessie X.T. Chen |
|
|
Poster
|
Wed 13:00 |
Up or Down? Adaptive Rounding for Post-Training Quantization Markus Nagel, Rana Ali Amjad, Mart van Baalen, Christos Louizos, Tijmen Blankevoort |
|
|
Poster
|
Wed 13:00 |
On the Sample Complexity of Adversarial Multi-Source PAC Learning Nikola Konstantinov, Elias Frantar, Dan Alistarh, Christoph H. Lampert |
|
|
Poster
|
Wed 13:00 |
Self-Attentive Hawkes Process Qiang Zhang, Aldo Lipani, Omer Kirnap, Emine Yilmaz |
|
|
Poster
|
Wed 13:00 |
Growing Adaptive Multi-hyperplane Machines Nemanja Djuric, Zhuang Wang, Slobodan Vucetic |
|
|
Poster
|
Wed 13:00 |
Leveraging Frequency Analysis for Deep Fake Image Recognition Joel Frank, Thorsten Eisenhofer, Lea Schönherr, Asja Fischer, Dorothea Kolossa, Thorsten Holz |
|
|
Poster
|
Wed 13:00 |
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes William Wilkinson, Paul Chang, Michael Andersen, Arno Solin |
|
|
Poster
|
Wed 13:00 |
Implicit Geometric Regularization for Learning Shapes Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, Yaron Lipman |
|
|
Poster
|
Wed 13:00 |
Super-efficiency of automatic differentiation for functions defined as a minimum Pierre Ablin, Gabriel Peyré, Thomas Moreau |
|
|
Poster
|
Wed 14:00 |
VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing Zoltán Á. Milacski, Barnabás Póczos, Andras Lorincz |
|
|
Poster
|
Wed 14:00 |
It's Not What Machines Can Learn, It's What We Cannot Teach Gal Yehuda, Moshe Gabel, Assaf Schuster |
|
|
Poster
|
Wed 14:00 |
Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets Guy Hacohen, Leshem Choshen, Daphna Weinshall |
|
|
Poster
|
Wed 14:00 |
Small Data, Big Decisions: Model Selection in the Small-Data Regime Jorg Bornschein, Francesco Visin, Simon Osindero |
|
|
Poster
|
Wed 14:00 |
DeepCoDA: personalized interpretability for compositional health data Thomas Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh |
|
|
Poster
|
Wed 14:00 |
Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs Aditya Rajagopal, Diederik Vink, Stylianos Venieris, Christos-Savvas Bouganis |
|
|
Poster
|
Wed 14:00 |
Variance Reduced Coordinate Descent with Acceleration: New Method With a Surprising Application to Finite-Sum Problems Filip Hanzely, Dmitry Kovalev, Peter Richtarik |
|
|
Poster
|
Wed 16:00 |
Safe Reinforcement Learning in Constrained Markov Decision Processes Akifumi Wachi, Yanan Sui |
|
|
Poster
|
Wed 16:00 |
Unsupervised Transfer Learning for Spatiotemporal Predictive Networks Zhiyu Yao, Yunbo Wang, Mingsheng Long, Jianmin Wang |
|
|
Poster
|
Wed 16:00 |
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback Michihiro Yasunaga, Percy Liang |
|
|
Poster
|
Wed 16:00 |
Feature-map-level Online Adversarial Knowledge Distillation Inseop Chung, SeongUk Park, Kim Jangho, NOJUN KWAK |
|
|
Poster
|
Wed 16:00 |
Boosted Histogram Transform for Regression Yuchao Cai, Hanyuan Hang, Hanfang Yang, Zhouchen Lin |
|
|
Poster
|
Thu 6:00 |
Meta Variance Transfer: Learning to Augment from the Others Seong-Jin Park, Seungju Han, Ji-won Baek, Insoo Kim, Juhwan Song, Hae Beom Lee, Jae-Joon Han, Sung Ju Hwang |
|
|
Poster
|
Thu 6:00 |
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems Darren Lin, Chi Jin, Michael Jordan |
|
|
Poster
|
Thu 6:00 |
T-GD: Transferable GAN-generated Images Detection Framework Hyeonseong Jeon, Young Oh Bang, Junyaup Kim, Simon Woo |
|
|
Poster
|
Thu 6:00 |
Universal Equivariant Multilayer Perceptrons Siamak Ravanbakhsh |
|
|
Poster
|
Thu 6:00 |
Learning Robot Skills with Temporal Variational Inference Tanmay Shankar, Abhinav Gupta |
|
|
Poster
|
Thu 6:00 |
Linear Lower Bounds and Conditioning of Differentiable Games Adam Ibrahim, Waïss Azizian, Gauthier Gidel, Ioannis Mitliagkas |
|
|
Poster
|
Thu 6:00 |
Continuous Graph Neural Networks Louis-Pascal Xhonneux, Meng Qu, Jian Tang |
|
|
Poster
|
Thu 6:00 |
Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks Jiabao Lei, Kui Jia |
|
|
Poster
|
Thu 6:00 |
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner |
|
|
Poster
|
Thu 6:00 |
Learning Optimal Tree Models under Beam Search Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, HAN LI, Jian Xu, Kun Gai |
|
|
Poster
|
Thu 6:00 |
Online Learning with Dependent Stochastic Feedback Graphs Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang |
|
|
Poster
|
Thu 6:00 |
On Breaking Deep Generative Model-based Defenses and Beyond Yanzhi Chen, Renjie Xie, Zhanxing Zhu |
|
|
Poster
|
Thu 6:00 |
Amortized Finite Element Analysis for Fast PDE-Constrained Optimization Tianju Xue, Alex Beatson, Sigrid Adriaenssens , Ryan P. Adams |
|
|
Poster
|
Thu 6:00 |
How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization Chris Finlay, Jörn Jacobsen, Levon Nurbekyan, Adam Oberman |
|
|
Poster
|
Thu 6:00 |
FACT: A Diagnostic for Group Fairness Trade-offs Joon Kim, Jiahao Chen, Ameet Talwalkar |
|
|
Poster
|
Thu 6:00 |
Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle Shaocong Ma, Yi Zhou |
|
|
Poster
|
Thu 6:00 |
Born-again Tree Ensembles Thibaut Vidal, Maximilian Schiffer |
|
|
Poster
|
Thu 6:00 |
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks Yuxin Wen, Shuai Li, Kui Jia |
|
|
Poster
|
Thu 6:00 |
Learning Selection Strategies in Buchberger’s Algorithm Dylan Peifer, Michael Stillman, Daniel Halpern-Leistner |
|
|
Poster
|
Thu 6:00 |
Graph Homomorphism Convolution Hoang NT, Takanori Maehara |
|
|
Poster
|
Thu 6:00 |
Task Understanding from Confusing Multi-task Data Xin Su, Yizhou Jiang, Shangqi Guo, Feng Chen |
|
|
Poster
|
Thu 6:00 |
Sparse Convex Optimization via Adaptively Regularized Hard Thresholding Kyriakos Axiotis, Maxim Sviridenko |
|
|
Poster
|
Thu 6:00 |
Improving Robustness of Deep-Learning-Based Image Reconstruction Ankit Raj, Yoram Bresler, Bo Li |
|
|
Poster
|
Thu 6:00 |
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters Wenhui Yu, Zheng Qin |
|
|
Poster
|
Thu 6:00 |
Robustness to Programmable String Transformations via Augmented Abstract Training Yuhao Zhang, Aws Albarghouthi, Loris D'Antoni |
|
|
Poster
|
Thu 6:00 |
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Andrew Ilyas, Aleksander Madry |
|
|
Poster
|
Thu 6:00 |
Enhancing Simple Models by Exploiting What They Already Know Amit Dhurandhar, Karthikeyan Shanmugam, Ronny Luss |
|
|
Poster
|
Thu 7:00 |
ACFlow: Flow Models for Arbitrary Conditional Likelihoods Yang Li, Shoaib Akbar, Junier Oliva |
|
|
Poster
|
Thu 7:00 |
On hyperparameter tuning in general clustering problemsm Xinjie Fan, Yuguang Yue, Purnamrita Sarkar, Y. X. Rachel Wang |
|
|
Poster
|
Thu 7:00 |
Normalized Loss Functions for Deep Learning with Noisy Labels Xingjun Ma, Curtis Huang, Yisen Wang, Simone Romano, Sarah Erfani, James Bailey |
|
|
Poster
|
Thu 7:00 |
Adaptive Reward-Poisoning Attacks against Reinforcement Learning Xuezhou Zhang, Yuzhe Ma, Adish Singla, Jerry Zhu |
|
|
Poster
|
Thu 7:00 |
Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model Ying Jin, Zhaoran Wang, Junwei Lu |
|
|
Poster
|
Thu 7:00 |
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates Jeff Calder, Brendan Cook, Matthew Thorpe, Dejan Slepcev |
|
|
Poster
|
Thu 7:00 |
Lorentz Group Equivariant Neural Network for Particle Physics Alexander Bogatskiy, Brandon Anderson, Jan T Offermann, Marwah Roussi, David Miller, Risi Kondor |
|
|
Poster
|
Thu 7:00 |
Adversarial Attacks on Copyright Detection Systems Parsa Saadatpanah, Ali Shafahi, Tom Goldstein |
|
|
Poster
|
Thu 7:00 |
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games Zhongxiang Dai, Yizhou Chen, Bryan Kian Hsiang Low, Patrick Jaillet , Teck-Hua Ho |
|
|
Poster
|
Thu 7:00 |
Perceptual Generative Autoencoders Zijun Zhang, Ruixiang ZHANG, Zongpeng Li, Yoshua Bengio, Liam Paull |
|
|
Poster
|
Thu 7:00 |
Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks Marko Vasic, Cameron Chalk, Sarfraz Khurshid, David Soloveichik |
|
|
Poster
|
Thu 7:00 |
Time-aware Large Kernel Convolutions Vasileios Lioutas, Yuhong Guo |
|
|
Poster
|
Thu 7:00 |
Online Learned Continual Compression with Adaptive Quantization Modules Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau |
|
|
Poster
|
Thu 7:00 |
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images Zhizhong Han, Chao Chen, Yushen Liu, Matthias Zwicker |
|
|
Poster
|
Thu 7:00 |
Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion Nghia Hoang, Thanh Lam, Bryan Kian Hsiang Low, Patrick Jaillet |
|
|
Poster
|
Thu 7:00 |
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data Di Wang, Hanshen Xiao, Srinivas Devadas, Jinhui Xu |
|
|
Poster
|
Thu 7:00 |
Goodness-of-Fit Tests for Inhomogeneous Random Graphs Soham Dan, Bhaswar B. Bhattacharya |
|
|
Poster
|
Thu 7:00 |
Efficient Continuous Pareto Exploration in Multi-Task Learning Pingchuan Ma, Tao Du, Wojciech Matusik |
|
|
Poster
|
Thu 8:00 |
An Imitation Learning Approach for Cache Replacement Evan Liu, Milad Hashemi, Kevin Swersky, Partha Ranganathan, Junwhan Ahn |
|
|
Poster
|
Thu 8:00 |
Minimax Pareto Fairness: A Multi Objective Perspective Natalia Martinez Gil, Martin Bertran, Guillermo Sapiro |
|
|
Poster
|
Thu 8:00 |
High-dimensional Robust Mean Estimation via Gradient Descent Yu Cheng, Ilias Diakonikolas, Rong Ge, Mahdi Soltanolkotabi |
|
|
Poster
|
Thu 9:00 |
ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications Kinjal Basu, Amol Ghoting, Rahul Mazumder, Yao Pan |
|
|
Poster
|
Thu 9:00 |
Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions Michael Chang, Sid Kaushik, S. Matthew Weinberg, Thomas Griffiths, Sergey Levine |
|
|
Poster
|
Thu 9:00 |
Decision Trees for Decision-Making under the Predict-then-Optimize Framework Adam Elmachtoub, Jason Cheuk Nam Liang, Ryan McNellis |
|
|
Poster
|
Thu 9:00 |
Active World Model Learning in Agent-rich Environments with Progress Curiosity Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber, Daniel Yamins |
|
|
Poster
|
Thu 12:00 |
Optimizer Benchmarking Needs to Account for Hyperparameter Tuning Prabhu Teja Sivaprasad, Florian Mai, Thijs Vogels, Martin Jaggi, François Fleuret |
|
|
Poster
|
Thu 12:00 |
Graph-based Nearest Neighbor Search: From Practice to Theory Liudmila Prokhorenkova, Aleksandr Shekhovtsov |
|
|
Poster
|
Thu 12:00 |
A Flexible Latent Space Model for Multilayer Networks Xuefei Zhang, Songkai Xue, Ji Zhu |
|
|
Poster
|
Thu 12:00 |
Near-optimal Regret Bounds for Stochastic Shortest Path Aviv Rosenberg, Alon Cohen, Yishay Mansour, Haim Kaplan |
|
|
Poster
|
Thu 12:00 |
Monte-Carlo Tree Search as Regularized Policy Optimization Jean-Bastien Grill, Florent Altché, Yunhao Tang, Thomas Hubert, Michal Valko, Ioannis Antonoglou, Remi Munos |
|
|
Poster
|
Thu 12:00 |
Gradient-free Online Learning in Continuous Games with Delayed Rewards Amélie Héliou, Panayotis Mertikopoulos, Zhengyuan Zhou |
|
|
Poster
|
Thu 12:00 |
Real-Time Optimisation for Online Learning in Auctions Lorenzo Croissant, Marc Abeille, Clément Calauzènes |
|
|
Poster
|
Thu 12:00 |
Learning to Rank Learning Curves Martin Wistuba, Tejaswini Pedapati |
|
|
Poster
|
Thu 12:00 |
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions Ahmed Alaa, Mihaela van der Schaar |
|
|
Poster
|
Thu 13:00 |
The Boomerang Sampler Joris Bierkens, Sebastiano Grazzi, Kengo Kamatani, Gareth Roberts |
|
|
Poster
|
Thu 13:00 |
Teaching with Limited Information on the Learner's Behaviour Ferdinando Cicalese, Francisco S de Freitas Filho, Eduardo Laber, Marco Molinaro |
|
|
Poster
|
Thu 13:00 |
Convolutional Kernel Networks for Graph-Structured Data Dexiong Chen, Laurent Jacob, Julien Mairal |
|
|
Poster
|
Thu 13:00 |
Towards Adaptive Residual Network Training: A Neural-ODE Perspective Chengyu Dong, Liyuan Liu, Zichao Li, Jingbo Shang |
|
|
Poster
|
Thu 14:00 |
The continuous categorical: a novel simplex-valued exponential family Elliott Gordon-Rodriguez, Gabriel Loaiza-Ganem, John Cunningham |
|
|
Poster
|
Thu 14:00 |
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift Alex Chan, Ahmed Alaa, Zhaozhi Qian, Mihaela van der Schaar |
|
|
Poster
|
Thu 14:00 |
Forecasting Sequential Data Using Consistent Koopman Autoencoders Omri Azencot, N. Benjamin Erichson, Vanessa Lin, Michael Mahoney |
|
|
Poster
|
Thu 14:00 |
Linear bandits with Stochastic Delayed Feedback Claire Vernade, Alexandra Carpentier, Tor Lattimore, Giovanni Zappella, Beyza Ermis, Michael Brueckner |
|
|
Poster
|
Thu 14:00 |
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics Gregor Simm, Robert Pinsler, Jose Miguel Hernandez-Lobato |
|
|
Poster
|
Thu 14:00 |
Regularized Optimal Transport is Ground Cost Adversarial François-Pierre Paty, Marco Cuturi |
|
|
Poster
|
Thu 15:00 |
Off-Policy Actor-Critic with Shared Experience Replay Simon Schmitt, Matteo Hessel, Karen Simonyan |
|
|
Poster
|
Thu 15:00 |
Stochastic Optimization for Regularized Wasserstein Estimators Marin Ballu, Quentin Berthet, Francis Bach |
|
|
Poster
|
Thu 15:00 |
Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi |
|
|
Poster
|
Thu 17:00 |
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup Jang-Hyun Kim, Wonho Choo, Hyun Oh Song |
|
|
Poster
|
Thu 17:00 |
Transformer Hawkes Process Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha |
|
|
Poster
|
Thu 17:00 |
Minimax Weight and Q-Function Learning for Off-Policy Evaluation Masatoshi Uehara, Jiawei Huang, Nan Jiang |
|
|
Poster
|
Thu 17:00 |
Non-autoregressive Machine Translation with Disentangled Context Transformer Jungo Kasai, James Cross, Marjan Ghazvininejad, Jiatao Gu |
|
|
Poster
|
Thu 17:00 |
Do We Need Zero Training Loss After Achieving Zero Training Error? Takashi Ishida, Ikko Yamane, Tomoya Sakai, Gang Niu, Masashi Sugiyama |
|
|
Poster
|
Thu 18:00 |
On Layer Normalization in the Transformer Architecture Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu |
|
|
Workshop
|
Fri 0:05 |
Self-supervision in Audio and Speech Mirco Ravanelli, Dmitriy Serdyuk, R Devon Hjelm, Bhuvana Ramabhadran, Titouan Parcollet |
|
|
Workshop
|
Fri 1:00 |
5th ICML Workshop on Human Interpretability in Machine Learning (WHI) Adrian Weller, Alice Xiang, Amit Dhurandhar, Been Kim, Dennis Wei, Kush Varshney, Umang Bhatt |
|
|
Workshop
|
Fri 1:30 |
Law & Machine Learning Céline Castets-Renard, Sylvain Cussat-Blanc, Laurent Risser |
|
|
Workshop
|
Fri 1:45 |
Learning with Missing Values Julie Josse, Jes Frellsen, Pierre-Alexandre Mattei, Gael Varoquaux |
|
|
Workshop
|
Fri 3:30 |
Invited Talk 4: Zeynep Akata - Modelling Conceptual Understanding Through Communication Wojciech Samek |
|
|
Workshop
|
Fri 3:30 |
Healthcare Systems, Population Health, and the Role of Health-tech Creighton Heaukulani, Konstantina Palla, Katherine Heller, Niranjani Prasad, Marzyeh Ghassemi |
|
|
Workshop
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Fri 5:10 |
Deploying Machine Learning Models in a Developing Country Ernest Mwebaze |
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Workshop
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Fri 5:15 |
Learning Speech Representations from Raw Audio by Joint Audiovisual Self-Supervision Abhinav Shukla |
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Workshop
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Fri 5:30 |
OtoWorld: Towards Learning to Separate by Learning to Move Omkar Ranadive |
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Workshop
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Fri 5:50 |
Invited Talk: Raster-based Motion Prediction for Safe Self-Driving (Nemanja Djuric) Nemanja Djuric |
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Workshop
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Fri 5:50 |
MLRetrospectives: A Venue for Self-Reflection in ML Research Jessica Forde, Jesse Dodge, Mayoore Jaiswal, Ryan Lowe, Rosanne Liu, Joelle Pineau, Yoshua Bengio |
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Workshop
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Fri 6:15 |
Using Self-Supervised Learning of Birdsong for Downstream Industrial Audio Classification Patty Ryan |
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Workshop
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Fri 6:50 |
Invited Talk 2 - Historical perspective on extreme classification in language modeling - Tomas Mikolov Tomas Mikolov |
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Workshop
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Fri 6:55 |
Invited Talk: Razvan Pascanu "Continual Learning from an Optimization/Learning-dynamics perspective" Razvan Pascanu |
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Workshop
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Fri 7:10 |
Invited Talk: What Interpretable Machine Learning Can Tell Us About Missing Values Rich Caruana |
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Workshop
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Fri 7:45 |
Invited Talk: Bing Liu "Learning on the Job in the Open World" Bing Liu |
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Workshop
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Fri 8:25 |
Generative Adversarial Set Transformers Karl Stelzner |
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Workshop
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Fri 8:30 |
AI in Diagnosis & Therapy II |
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Workshop
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Fri 8:30 |
Technology Readiness Levels for Machine Learning Systems Alexander Lavin |
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Workshop
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Fri 9:00 |
Poster Session (click to see links) |
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Workshop
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Fri 9:30 |
Open Problems Panel Alessandra Tosi, Nathan Korda, Yuzhui Liu, Zhenwen Dai, Zhenwen Dai, Alexander Lavin, Erick Galinkin, Camylle Lanteigne |
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Workshop
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Fri 10:30 |
Actionable Recourse in Machine Learning Berk Ustun |
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Workshop
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Fri 10:40 |
Conservative Exploration in Bandits and Reinforcement Learning Mohammad Ghavamzadeh |
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Workshop
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Fri 10:50 |
Spotlight talk 3 - PyHessian: Neural Networks Through the Lens of the Hessian Amir Gholaminejad |
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Workshop
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Fri 11:20 |
Short Talk 1 - Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality Kwang-Sung Jun |
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Workshop
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Fri 12:40 |
Invited Talk: Feedback in Imitation Learning: Confusion on Causality and Covariate Shift (Arun Venkatraman & Sanjiban Choudhury) Sanjiban Choudhury, Arun Venkatraman |
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Workshop
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Fri 12:40 |
Object-Oriented Drawings Moira R Dillon |
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Workshop
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Fri 13:30 |
Spotlight talk 4 - MomentumRNN: Integrating Momentum into Recurrent Neural Networks HUNG MINH TAN Nguyen |
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Workshop
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Fri 14:00 |
Industry Panel - Talk by Boris Ginsburg - Large scale deep learning: new trends and optimization challenges Boris Ginsburg |
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Workshop
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Fri 14:20 |
Representation learning and exploration in reinforcement learning - Akshay Krishnamurthy Akshay Krishnamurthy |
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Workshop
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Fri 15:20 |
Learning 3D Object-Oriented World Models from Unlabeled Videos Eric Crawford |
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Workshop
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Fri 15:30 |
Talk by Rachel Ward - Weighted Optimization: better generalization by smoother interpolation Rachel Ward |
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Workshop
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Fri 16:00 |
Efficient Planning in Large MDPs with Weak Linear Function Approximation - Csaba Szepesvari Csaba Szepesvari |
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| Sat 0:00 |
Queer in AI Social (II) Alex Markham, Melvin Selim Atay, Manu Saraswat |
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Workshop
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Sat 2:25 |
INNF+: Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models Chin-Wei Huang, David Krueger, Rianne Van den Berg, George Papamakarios, Chris Cremer, Ricky T. Q. Chen, Danilo J. Rezende |
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Workshop
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Sat 3:00 |
Inductive Biases, Invariances and Generalization in Reinforcement Learning Anirudh Goyal, Rosemary Nan Ke, Jane Wang, Theo Weber, Fabio Viola, Bernhard Schölkopf, Stefan Bauer |
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Workshop
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Sat 3:00 |
Never-ending Learning by Partha Pratim Talukdar Partha Talukdar |
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Workshop
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Sat 5:15 |
Diversity in reinforcement learning Takayuki Osogami |
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Workshop
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Sat 5:50 |
Bridge Between Perception and Reasoning: Graph Neural Networks & Beyond Jian Tang, Le Song, Jure Leskovec, Renjie Liao, Yujia Li, Sanja Fidler, Richard Zemel, Russ Salakhutdinov |
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Workshop
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Sat 5:50 |
From random matrices to kernel quadrature: how repulsiveness can speed up Monte Carlo integration Rémi Bardenet |
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Workshop
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Sat 6:00 |
Credit assignment and meta-learning in a single lifelong trial by Jürgen Schmidhuber Jürgen Schmidhuber |
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Workshop
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Sat 6:05 |
"Open Challenges for Automated Machine Learning: Solving Intellectual Debt with Auto AI" by Neil Lawrence Neil Lawrence |
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Workshop
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Sat 6:10 |
Keynote Session 1: Balancing Efficiency and Security in Federated Learning, by Qiang Yang (WeBank) Qiang Yang |
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Workshop
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Sat 7:00 |
Workshop on Learning in Artificial Open Worlds Arthur Szlam, Katja Hofmann, Russ Salakhutdinov, Sean Kuno, William Guss, Kavya Srinet, Brandon Houghton |
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Workshop
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Sat 7:00 |
1st Workshop on Language in Reinforcement Learning (LaReL) Nantas Nardelli, Jelena Luketina, Nantas Nardelli, Jakob Foerster, Victor Zhong, Jacob Andreas, Edward Grefenstette, Tim Rocktäschel |
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Workshop
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Sat 7:40 |
Invited Talk: Arthur Szlam Nantas Nardelli |
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Workshop
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Sat 8:30 |
Collaborative Construction and Communication in Minecraft Julia Hockenmaier |
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Workshop
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Sat 8:30 |
Invited talk 6: Likelihood Models for Science Kyle Cranmer |
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Workshop
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Sat 9:00 |
Invited talk 7: Flows in Probabilistic Modeling & Inference Martin Jankowiak |
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Workshop
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Sat 9:10 |
Machine Learning for Media Discovery Erik Schmidt, Oriol Nieto, Fabien Gouyon, Yves Raimond, Katherine Kinnaird, Gert Lanckriet |
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Workshop
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Sat 9:30 |
The FOAK Cycle for Model-based Life-long Learning by Rich Sutton Richard Sutton |
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Workshop
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Sat 10:15 |
Exponentially Faster Algorithms for Machine Learning Yaron Singer |
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Workshop
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Invited Talk: Dominantly Truthful Multi-task Peer Prediction with a Constant Number of Tasks Yuqing Kong |
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(#77 / Sess. 1) SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca |
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Workshop
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(#87 / Sess. 2) Bi-Level Attention Neural Architectures for Relational Data Roshni Iyer |
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Workshop
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(#90 / Sess. 1) Pointer Graph Networks Petar Veličković |
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Workshop
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(#70 / Sess. 2) Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits Mikołaj Sacha, Mikołaj Błaż |
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(#96 / Sess. 1) Active Learning on Graphs via Meta Learning Kaushalya Madhawa |
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(#97 / Sess. 1) Clustered Dynamic Graph CNN for Biometric 3D Hand Shape Recognition Jan Svoboda |
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(#24 / Sess. 2) Degree-Quant: Quantization-Aware Training for Graph Neural Networks Shyam Tailor |
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(#15 / Sess. 2) Learning Distributed Representations of Graphs with Geo2DR Paul Scherer |
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(#94 / Sess. 2) Are Hyperbolic Representations in Graphs Created Equal? Max Kochurov |
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Workshop
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Invited Talk: Thwarting Dr. Deceit's Malicious Activities in Conference Peer Review Nihar Shah |
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Workshop
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(#75 / Sess. 1) Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas |