Papers
Learning to Correlate in Multi-Player General-Sum Sequential Games
Andrea Celli, Alberto Marchesi, Tommaso Bianchi et al.
Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning
Ruiyi Zhang, Tong Yu, Yilin Shen et al.
RUBi: Reducing Unimodal Biases for Visual Question Answering
Remi Cadene, Corentin Dancette, Hedi Ben younes et al.
Cold Case: The Lost MNIST Digits
Chhavi Yadav, Leon Bottou
MarginGAN: Adversarial Training in Semi-Supervised Learning
Jinhao Dong, Tong Lin
Flexible information routing in neural populations through stochastic comodulation
Caroline Haimerl, Cristina Savin, Eero Simoncelli
High-Dimensional Optimization in Adaptive Random Subspaces
Jonathan Lacotte, Mert Pilanci, Marco Pavone
Mixtape: Breaking the Softmax Bottleneck Efficiently
Zhilin Yang, Thang Luong, Ruslan Salakhutdinov et al.
SpiderBoost and Momentum: Faster Variance Reduction Algorithms
Zhe Wang, Kaiyi Ji, Yi Zhou et al.
Multiagent Evaluation under Incomplete Information
Mark Rowland, Shayegan Omidshafiei, Karl Tuyls et al.
Conformalized Quantile Regression
Yaniv Romano, Evan Patterson, Emmanuel Candes
Write, Execute, Assess: Program Synthesis with a REPL
Kevin Ellis, Maxwell Nye, Yewen Pu et al.
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation
Yukai Liu, Rose Yu, Stephan Zheng et al.
Dynamic Local Regret for Non-convex Online Forecasting
Sergul Aydore, Tianhao Zhu, Dean P. Foster
Planning in entropy-regularized Markov decision processes and games
Jean-Bastien Grill, Omar Darwiche Domingues, Pierre Menard et al.
Understanding Sparse JL for Feature Hashing
Meena Jagadeesan
Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling
Tengyang Xie, Yifei Ma, Yu-Xiang Wang
Parameter elimination in particle Gibbs sampling
Anna Wigren, Riccardo Sven Risuleo, Lawrence Murray et al.
Budgeted Reinforcement Learning in Continuous State Space
Nicolas Carrara, Edouard Leurent, Romain Laroche et al.
Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation
Ruibo Tu, Kun Zhang, Bo Bertilson et al.
Sparse High-Dimensional Isotonic Regression
David Gamarnik, Julia Gaudio
Learning from Label Proportions with Generative Adversarial Networks
Jiabin Liu, Bo Wang, Zhiquan Qi et al.
Depth-First Proof-Number Search with Heuristic Edge Cost and Application to Chemical Synthesis Planning
Akihiro Kishimoto, Beat Buesser, Bei Chen et al.
Safe Exploration for Interactive Machine Learning
Matteo Turchetta, Felix Berkenkamp, Andreas Krause
DAC: The Double Actor-Critic Architecture for Learning Options
Shangtong Zhang, Shimon Whiteson