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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 |
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 8:00 |
Uncertainty-Aware Lookahead Factor Models for Quantitative Investing Lakshay Chauhan, John Alberg, Zachary Lipton |
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Poster
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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
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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
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Tue 13:00 |
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions Ahmed Alaa, Mihaela van der Schaar |
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Poster
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Tue 14:00 |
Why Are Learned Indexes So Effective? Paolo Ferragina, Fabrizio Lillo, Giorgio Vinciguerra |
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Poster
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Tue 15:00 |
When deep denoising meets iterative phase retrieval Yaotian Wang, Xiaohang Sun, Jason Fleischer |
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Poster
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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
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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
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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 |
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Poster
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Wed 9:00 |
Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints Cong Shen, Zhiyang Wang, Sofia Villar, Mihaela van der Schaar |
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Poster
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Wed 10:00 |
NetGAN without GAN: From Random Walks to Low-Rank Approximations Luca Rendsburg, Holger Heidrich, Ulrike von Luxburg |
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Poster
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Wed 10:00 |
Learning to Simulate and Design for Structural Engineering Kai-Hung Chang, Chin-Yi Cheng |
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Poster
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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 |
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Poster
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Wed 12:00 |
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters Subho Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar Iyer |
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Poster
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Wed 13:00 |
Leveraging Frequency Analysis for Deep Fake Image Recognition Joel Frank, Thorsten Eisenhofer, Lea Schönherr, Asja Fischer, Dorothea Kolossa, Thorsten Holz |
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Poster
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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 |
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Poster
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Thu 6:00 |
Amortized Finite Element Analysis for Fast PDE-Constrained Optimization Tianju Xue, Alex Beatson, Sigrid Adriaenssens , Ryan P. Adams |
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Poster
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Thu 6:00 |
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters Wenhui Yu, Zheng Qin |
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Poster
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Thu 6:00 |
Learning Robot Skills with Temporal Variational Inference Tanmay Shankar, Abhinav Gupta |
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Poster
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Thu 6:00 |
Learning Selection Strategies in Buchberger’s Algorithm Dylan Peifer, Michael Stillman, Daniel Halpern-Leistner |
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Poster
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Thu 6:00 |
Learning Optimal Tree Models under Beam Search Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, HAN LI, Jian Xu, Kun Gai |
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Poster
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Thu 7:00 |
Goodness-of-Fit Tests for Inhomogeneous Random Graphs Soham Dan, Bhaswar B. Bhattacharya |
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Poster
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Thu 7:00 |
Adversarial Attacks on Copyright Detection Systems Parsa Saadatpanah, Ali Shafahi, Tom Goldstein |
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Poster
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Thu 7:00 |
Online Learned Continual Compression with Adaptive Quantization Modules Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau |
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Poster
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Thu 8:00 |
An Imitation Learning Approach for Cache Replacement Evan Liu, Milad Hashemi, Kevin Swersky, Partha Ranganathan, Junwhan Ahn |
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Poster
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Thu 12:00 |
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions Ahmed Alaa, Mihaela van der Schaar |
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Poster
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Thu 14:00 |
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics Gregor Simm, Robert Pinsler, Jose Miguel Hernandez-Lobato |
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Poster
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Thu 17:00 |
Transformer Hawkes Process Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha |