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The 2020 schedule is still incomplete
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Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization
Quoc Tran-Dinh · Nhan H Pham · Lam Nguyen
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems
Darren Lin · Chi Jin · Michael Jordan
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE
Juntang Zhuang · Nicha Dvornek · Xiaoxiao Li · Sekhar Tatikonda · Xenophon Papademetris · James Duncan
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Countering Language Drift with Seeded Iterated Learning
Yuchen Lu · Soumye Singhal · Florian Strub · Aaron Courville · Olivier Pietquin
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks
Dimitris Tsipras · Shibani Santurkar · Logan Engstrom · Andrew Ilyas · Aleksander Madry
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification
Hongyuan Mei · Guanghui Qin · Minjie Xu · Jason Eisner
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Universal Asymptotic Optimality of Polyak Momentum
Damien Scieur · Fabian Pedregosa
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Low-Rank Bottleneck in Multi-head Attention Models
Srinadh Bhojanapalli · Chulhee Yun · Ankit Singh Rawat · Sashank Jakkam Reddi · Sanjiv Kumar
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Interpreting Robust Optimization via Adversarial Influence Functions
Zhun Deng · Cynthia Dwork · Jialiang Wang · Linjun Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Invariant Rationalization
Shiyu Chang · Yang Zhang · Mo Yu · Tommi Jaakkola
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Tails of Lipschitz Triangular Flows
Priyank Jaini · Ivan Kobyzev · Yaoliang Yu · Marcus Brubaker
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Fiedler Regularization: Learning Neural Networks with Graph Sparsity
Edric Tam · David Dunson
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Learning Robot Skills with Temporal Variational Inference
Tanmay Shankar · Abhinav Gupta
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Improved Sleeping Bandits with Stochastic Action Sets and Adversarial Rewards
Aadirupa Saha · Pierre Gaillard · Michal Valko
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
On Breaking Deep Generative Model-based Defenses and Beyond
Yanzhi Chen · Renjie Xie · Zhanxing Zhu
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
T-GD: Transferable GAN-generated Images Detection Framework
Hyeonseong Jeon · Young Oh Bang · Junyaup Kim · Simon Woo
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Reducing Sampling Error in Batch Temporal Difference Learning
Brahma Pavse · Ishan Durugkar · Josiah Hanna · Peter Stone
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Universal Equivariant Multilayer Perceptrons
Siamak Ravanbakhsh
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Error-Bounded Correction of Noisy Labels
Songzhu Zheng · Pengxiang Wu · Aman Goswami · Mayank Goswami · Dimitris Metaxas · Chao Chen
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Task Understanding from Confusing Multi-task Data
Xin Su · Yizhou Jiang · Shangqi Guo · Feng Chen
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Lower Complexity Bounds for Finite-Sum Convex-Concave Minimax Optimization Problems
Guangzeng Xie · Luo Luo · yijiang lian · Zhihua Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
New Oracle-Efficient Algorithms for Private Synthetic Data Release
Giuseppe Vietri · Grace Tian · Mark Bun · Thomas Steinke · Steven Wu
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Multi-Agent Routing Value Iteration Network
Quinlan Sykora · Mengye Ren · Raquel Urtasun
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Stochastic Flows and Geometric Optimization on the Orthogonal Group
Krzysztof Choromanski · David Cheikhi · Jared Quincy Davis · Valerii Likhosherstov · Achille Nazaret · Achraf Bahamou · Xingyou Song · Mrugank Akarte · Jack Parker-Holder · Jacob Bergquist · Yuan Gao · Aldo Pacchiano · Tamas Sarlos · Adrian Weller · Vikas Sindhwani
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
A Pairwise Fair and Community-preserving Approach to k-Center Clustering
Brian Brubach · Darshan Chakrabarti · John P Dickerson · Samir Khuller · Aravind Srinivasan · Leonidas Tsepenekas
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Latent Variable Modelling with Hyperbolic Normalizing Flows
Joey Bose · Ariella Smofsky · Renjie Liao · Prakash Panangaden · Will Hamilton
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Adaptive Region-Based Active Learning
Corinna Cortes · Giulia DeSalvo · Claudio Gentile · Mehryar Mohri · Ningshan Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance
Yasutoshi Ida · Sekitoshi Kanai · Yasuhiro Fujiwara · Tomoharu Iwata · Koh Takeuchi · Hisashi Kashima
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
BINOCULARS for efficient, nonmyopic sequential experimental design
Shali Jiang · Henry Chai · Javier Gonzalez · Roman Garnett
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Sparse Convex Optimization via Adaptively Regularized Hard Thresholding
Kyriakos Axiotis · Maxim Sviridenko
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Rigging the Lottery: Making All Tickets Winners
Utku Evci · Trevor Gale · Jacob Menick · Pablo Samuel Castro · Erich Elsen
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions
Zhengyang Shen · Lingshen He · Zhouchen Lin · Jinwen Ma
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Calibration, Entropy Rates, and Memory in Language Models
Mark Braverman · Xinyi Chen · Sham Kakade · Karthik Narasimhan · Cyril Zhang · Yi Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Learning with Bounded Instance- and Label-dependent Label Noise
Jiacheng Cheng · Tongliang Liu · Kotagiri Ramamohanarao · Dacheng Tao
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Do GANs always have Nash equilibria?
Farzan Farnia · Asuman Ozdaglar
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Estimation of Bounds on Potential Outcomes For Decision Making
Maggie Makar · Fredrik Johansson · John Guttag · David Sontag
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
On the Expressivity of Neural Networks for Deep Reinforcement Learning
Kefan Dong · Yuping Luo · Tianhe (Kevin) Yu · Chelsea Finn · Tengyu Ma
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
Ashley Edwards · Himanshu Sahni · Rosanne Liu · Jane Hung · Ankit Jain · Rui Wang · Adrien Ecoffet · Thomas Miconi · Charles Isbell · Jason Yosinski
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization
Debabrata Mahapatra · Vaibhav Rajan
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Deep Graph Random Process for Relational-Thinking-Based Speech Recognition
Huang Hengguan · Fuzhao Xue · Hao Wang · Ye Wang
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models
Rares-Darius Buhai · Yoni Halpern · Yoon Kim · Andrej Risteski · David Sontag
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Towards Accurate Post-training Network Quantization via Bit-Split and Stitching
Peisong Wang · Qiang Chen · Xiangyu He · Jian Cheng
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks
Micah Goldblum · Steven Reich · Liam Fowl · Renkun Ni · Valeriia Cherepanova · Tom Goldstein
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
On a projective ensemble approach to two sample test for equality of distributions
Zhimei Li · Yaowu Zhang
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Adaptive Adversarial Multi-task Representation Learning
YUREN MAO · Weiwei Liu · Xuemin Lin
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks
Jiabao Lei · Kui Jia
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Do RNN and LSTM have Long Memory?
Jingyu Zhao · Feiqing Huang · Jia Lv · Yanjie Duan · Zhen Qin · Guodong Li · Guangjian Tian
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Transparency Promotion with Model-Agnostic Linear Competitors
Hassan Rafique · Tong Wang · Qihang Lin · Arshia Singhani
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
Tongzhou Wang · Phillip Isola
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning
Yunhua Xiang · Noah Simon
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Performative Prediction
Juan Perdomo · Tijana Zrnic · Celestine Mendler-Dünner · Moritz Hardt
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
Qinqing Zheng · Jinshuo Dong · Qi Long · Weijie Su
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
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 Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Upper bounds for Model-Free Row-Sparse Principal Component Analysis
Guanyi Wang · Santanu Dey
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Scalable Differentiable Physics for Learning and Control
Yi-Ling Qiao · Junbang Liang · Vladlen Koltun · Ming Lin
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Piecewise Linear Regression via a Difference of Convex Functions
Ali Siahkamari · Aditya Gangrade · Brian Kulis · Venkatesh Saligrama
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation
Yaqi Duan · Zeyu Jia · Mengdi Wang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Bridging the Gap Between f-GANs and Wasserstein GANs
Jiaming Song · Stefano Ermon
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Robustness to Programmable String Transformations via Augmented Abstract Training
Yuhao Zhang · Aws Albarghouthi · Loris D'Antoni
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization
Sudeep Salgia · Qing Zhao · Sattar Vakili
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Online Learning with Dependent Stochastic Feedback Graphs
Corinna Cortes · Giulia DeSalvo · Claudio Gentile · Mehryar Mohri · Ningshan Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning
Silviu Pitis · Harris Chan · Stephen Zhao · Bradly Stadie · Jimmy Ba
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Strategic Classification is Causal Modeling in Disguise
John Miller · Smitha Milli · Moritz Hardt
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Sequence Generation with Mixed Representations
Lijun Wu · Shufang Xie · Yingce Xia · Yang Fan · Jian-Huang Lai · Tao Qin · Tie-Yan Liu
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space
Yingyi Ma · Vignesh Ganapathiraman · Yaoliang Yu · Xinhua Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters
Wenhui Yu · Zheng Qin
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Robustifying Sequential Neural Processes
Jaesik Yoon · Gautam Singh · Sungjin Ahn
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Black-Box Methods for Restoring Monotonicity
Evangelia Gergatsouli · Brendan Lucier · Christos Tzamos
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Reward-Free Exploration for Reinforcement Learning
Chi Jin · Akshay Krishnamurthy · Max Simchowitz · Tiancheng Yu
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Learning Optimal Tree Models under Beam Search
Jingwei Zhuo · Ziru Xu · Wei Dai · Han Zhu · HAN LI · Jian Xu · Kun Gai
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Optimizing Dynamic Structures with Bayesian Generative Search
Minh Hoang · Carleton Kingsford
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Improving Transformer Optimization Through Better Initialization
Xiao Shi Huang · Felipe Perez · Jimmy Ba · Maksims Volkovs
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Privately detecting changes in unknown distributions
Rachel Cummings · Sara Krehbiel · Yuliia Lut · Wanrong Zhang
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Graph Homomorphism Convolution
Hoang NT · Takanori Maehara
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Mapping natural-language problems to formal-language solutions using structured neural representations
Kezhen Chen · Qiuyuan Huang · Hamid Palangi · Paul Smolensky · Ken Forbus · Jianfeng Gao
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization
Chris Finlay · Joern-Henrik Jacobsen · Levon Nurbekyan · Adam Oberman
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
p-Norm Flow Diffusion for Local Graph Clustering
Kimon Fountoulakis · Di Wang · Shenghao Yang
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Linear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex Programming
Daoli Zhu · Lei Zhao
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Learning the Valuations of a $k$-demand Agent
Hanrui Zhang · Vincent Conitzer
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Differentiable Product Quantization for End-to-End Embedding Compression
Ting Chen · Lala Li · Yizhou Sun
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Born-again Tree Ensembles
Thibaut Vidal · Maximilian Schiffer
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training
Yuji Roh · Kangwook Lee · Steven Whang · Changho Suh
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation
Florence Regol · Soumyasundar Pal · Yingxue Zhang · Mark Coates
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification
Chen Dan · Yuting Wei · Pradeep Ravikumar
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Does label smoothing mitigate label noise?
Michal Lukasik · Srinadh Bhojanapalli · Aditya Menon · Sanjiv Kumar
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Convex Calibrated Surrogates for the Multi-Label F-Measure
Mingyuan Zhang · Harish Guruprasad Ramaswamy · Shivani Agarwal
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Deep Reinforcement Learning with Smooth Policy
Qianli Shen · Yan Li · Haoming Jiang · Zhaoran Wang · Tuo Zhao
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Provably Efficient Model-based Policy Adaptation
Yuda Song · Aditi Mavalankar · Wen Sun · Sicun Gao
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Causal Inference using Gaussian Processes with Structured Latent Confounders
Sam Witty · Kenta Takatsu · David Jensen · Vikash Mansinghka
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Linear Lower Bounds and Conditioning of Differentiable Games
Adam Ibrahim · Waïss Azizian · Gauthier Gidel · Ioannis Mitliagkas
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle
Shaocong Ma · Yi Zhou
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms
Kaiyi Ji · Zhe Wang · Bowen Weng · Yi Zhou · Wei Zhang · Yingbin LIANG
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
GraphOpt: Learning Optimization Models of Graph Formation
Rakshit Trivedi · Jiachen Yang · Hongyuan Zha
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Constrained Markov Decision Processes via Backward Value Functions
Harsh Satija · Philip Amortila · Joelle Pineau
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Acceleration through spectral density estimation
Fabian Pedregosa · Damien Scieur
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton
Risheng Liu · Pan Mu · Xiaoming Yuan · Shangzhi Zeng · Jin Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Input-Sparsity Low Rank Approximation in Schatten Norm
Yi Li · David Woodruff
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Refined bounds for algorithm configuration: The knife-edge of dual class approximability
Nina Balcan · Tuomas Sandholm · Ellen Vitercik
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Bandits for BMO Functions
Tianyu Wang · Cynthia Rudin
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Learning Selection Strategies in Buchberger’s Algorithm
Dylan Peifer · Michael Stillman · Daniel Halpern-Leistner
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Sparsified Linear Programming for Zero-Sum Equilibrium Finding
Brian Zhang · Tuomas Sandholm
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics
Matthew Hoffman · Yian Ma
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data
Tamara Fernandez · Arthur Gretton · Nicolas Rivera · Wenkai Xu
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Concise Explanations of Neural Networks using Adversarial Training
Prasad Chalasani · Jiefeng Chen · Amrita Roy Chowdhury · Xi Wu · Somesh Jha
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks
Yuxin Wen · Shuai Li · Kui Jia
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Robust Pricing in Dynamic Mechanism Design
Yuan Deng · Sébastien Lahaie · Vahab Mirrokni
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Enhancing Simple Models by Exploiting What They Already Know
Amit Dhurandhar · Karthikeyan Shanmugam · Ronny Luss
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Improving Robustness of Deep-Learning-Based Image Reconstruction
Ankit Raj · Yoram Bresler · Bo Li
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr Pong · Murtaza Dalal · Steven Lin · Ashvin Nair · Shikhar Bahl · Sergey Levine
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
FACT: A Diagnostic for Group Fairness Trade-offs
Joon Kim · Jiahao Chen · Ameet Talwalkar
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information
Pengyu Cheng · Weituo Hao · Shuyang Dai · Jiachang Liu · Zhe Gan · Lawrence Carin
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Amortized Finite Element Analysis for Fast PDE-Constrained Optimization
Tianju Xue · Alex Beatson · Sigrid Adriaenssens · Ryan P. Adams
[ Slides
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Continuous Graph Neural Networks
Louis-Pascal Xhonneux · Meng Qu · Jian Tang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Almost Tune-Free Variance Reduction
Bingcong Li · Lingda Wang · Georgios B. Giannakis
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon · Abdulkadir Canatar · Cengiz Pehlevan
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Improved Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance
Blair Bilodeau · Dylan Foster · Daniel Roy