Papers
The Complete Lasso Tradeoff Diagram
Hua Wang, Yachong Yang, Zhiqi Bu et al.
OrganITE: Optimal transplant donor organ offering using an individual treatment effect
Jeroen Berrevoets, James Jordon, Ioana Bica et al.
A Theoretical Framework for Target Propagation
Alexander Meulemans, Francesco Carzaniga, Johan Suykens et al.
A General Large Neighborhood Search Framework for Solving Integer Linear Programs
Jialin Song, ravi lanka, Yisong Yue et al.
GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs
Sahil Manchanda, AKASH MITTAL, Anuj Dhawan et al.
Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data
Michael Cogswell, Jiasen Lu, Rishabh Jain et al.
Learning Retrospective Knowledge with Reverse Reinforcement Learning
Shangtong Zhang, Vivek Veeriah, Shimon Whiteson
Beta R-CNN: Looking into Pedestrian Detection from Another Perspective
Zixuan Xu, Banghuai Li, Ye Yuan et al.
Adversarial Bandits with Corruptions: Regret Lower Bound and No-regret Algorithm
lin yang, Mohammad Hajiesmaili, Mohammad Sadegh Talebi et al.
Joint Policy Search for Multi-agent Collaboration with Imperfect Information
Yuandong Tian, Qucheng Gong, Yu Jiang
Estimating Training Data Influence by Tracing Gradient Descent
Garima Pruthi, Frederick Liu, Satyen Kale et al.
Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning
Runzhong Wang, Junchi Yan, Xiaokang Yang
Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes
Yi Tian, Jian Qian, Suvrit Sra
Reinforcement Learning with Augmented Data
Misha Laskin, Kimin Lee, Adam Stooke et al.
Weston-Watkins Hinge Loss and Ordered Partitions
Yutong Wang, Clayton Scott
A Benchmark for Systematic Generalization in Grounded Language Understanding
Laura Ruis, Jacob Andreas, Marco Baroni et al.
Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition
Dat Huynh, Ehsan Elhamifar
Graph Stochastic Neural Networks for Semi-supervised Learning
Haibo Wang, Chuan Zhou, Xin Chen et al.
A Robust Functional EM Algorithm for Incomplete Panel Count Data
Alexander Moreno, Zhenke Wu, Jamie Roslyn Yap et al.
The Adaptive Complexity of Maximizing a Gross Substitutes Valuation
Ron Kupfer, Sharon Qian, Eric Balkanski et al.
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs
Jianzhun Du, Joseph Futoma, Finale Doshi-Velez
Comparator-Adaptive Convex Bandits
Dirk van der Hoeven, Ashok Cutkosky, Haipeng Luo
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning
Jiachen Li, Fan Yang, Masayoshi Tomizuka et al.
Accelerating Reinforcement Learning through GPU Atari Emulation
Steven Dalton, iuri frosio