Papers
RUDDER: Return Decomposition for Delayed Rewards
Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich et al.
q-means: A quantum algorithm for unsupervised machine learning
Iordanis Kerenidis, Jonas Landman, Alessandro Luongo et al.
Implicit Semantic Data Augmentation for Deep Networks
Yulin Wang, Xuran Pan, Shiji Song et al.
Copulas as High-Dimensional Generative Models: Vine Copula Autoencoders
Natasa Tagasovska, Damien Ackerer, Thibault Vatter
Deep Generalized Method of Moments for Instrumental Variable Analysis
Andrew Bennett, Nathan Kallus, Tobias Schnabel
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
Daniel Freeman, David Ha, Luke Metz
Visualizing and Measuring the Geometry of BERT
Emily Reif, Ann Yuan, Martin Wattenberg et al.
Online Continual Learning with Maximal Interfered Retrieval
Rahaf Aljundi, Eugene Belilovsky, Tinne Tuytelaars et al.
Sequence Modeling with Unconstrained Generation Order
Dmitrii Emelianenko, Elena Voita, Pavel Serdyukov
Bayesian Layers: A Module for Neural Network Uncertainty
Dustin Tran, Mike Dusenberry, Mark van der Wilk et al.
Poisson-Randomized Gamma Dynamical Systems
Aaron Schein, Scott Linderman, Mingyuan Zhou et al.
A Bayesian Theory of Conformity in Collective Decision Making
Koosha Khalvati, Saghar Mirbagheri, Seongmin A. Park et al.
Dying Experts: Efficient Algorithms with Optimal Regret Bounds
Hamid Shayestehmanesh, Sajjad Azami, Nishant A Mehta
Global Convergence of Gradient Descent for Deep Linear Residual Networks
Lei Wu, Qingcan Wang, Chao Ma
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control
Sai Qian Zhang, Qi Zhang, Jieyu Lin
Learning dynamic polynomial proofs
Alhussein Fawzi, Mateusz Malinowski, Hamza Fawzi et al.
On Distributed Averaging for Stochastic k-PCA
Aditya Bhaskara, Pruthuvi Maheshakya Wijewardena
Learning Sparse Distributions using Iterative Hard Thresholding
Jacky Y Zhang, Rajiv Khanna, Anastasios Kyrillidis et al.
Joint-task Self-supervised Learning for Temporal Correspondence
Xueting Li, Sifei Liu, Shalini De Mello et al.
Probabilistic Logic Neural Networks for Reasoning
Meng Qu, Jian Tang
Statistical-Computational Tradeoff in Single Index Models
Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
Learning Representations for Time Series Clustering
Qianli Ma, Jiawei Zheng, Sen Li et al.
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment
Felix Leibfried, Sergio Pascual-Díaz, Jordi Grau-Moya
Learning to Perform Local Rewriting for Combinatorial Optimization
Xinyun Chen, Yuandong Tian
Learning Local Search Heuristics for Boolean Satisfiability
Emre Yolcu, Barnabas Poczos