Papers
Off-Policy Actor-Critic with Shared Experience Replay
Simon Schmitt, Matteo Hessel, Karen Simonyan
On Approximate Thompson Sampling with Langevin Algorithms
Eric Mazumdar, Aldo Pacchiano, Yian Ma et al.
On a projective ensemble approach to two sample test for equality of distributions
Zhimei Li, Yaowu Zhang
On Breaking Deep Generative Model-based Defenses and Beyond
Yanzhi Chen, Renjie Xie, Zhanxing Zhu
On Conditional Versus Marginal Bias in Multi-Armed Bandits
Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo
On Contrastive Learning for Likelihood-free Inference
Conor Durkan, Iain Murray, George Papamakarios
On Convergence-Diagnostic based Step Sizes for Stochastic Gradient Descent
Scott Pesme, Aymeric Dieuleveut, Nicolas Flammarion
On Coresets for Regularized Regression
Rachit Chhaya, Anirban Dasgupta, Supratim Shit
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data
Di Wang, Hanshen Xiao, Srinivas Devadas et al.
On Efficient Constructions of Checkpoints
Yu Chen, Zhenming Liu, Bin Ren et al.
On Efficient Low Distortion Ultrametric Embedding
Vincent Cohen-Addad, Karthik C. S., Guillaume Lagarde
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control
Wenlong Huang, Igor Mordatch, Deepak Pathak
One-shot Distributed Ridge Regression in High Dimensions
Yue Sheng, Edgar Dobriban
One Size Fits All: Can We Train One Denoiser for All Noise Levels?
Abhiram Gnanasambandam, Stanley Chan
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems
Tianyi Lin, Chi Jin, Michael Jordan
On hyperparameter tuning in general clustering problemsm
Xinjie Fan, Yuguang Yue, Purnamrita Sarkar et al.
On Implicit Regularization in $β$-VAEs
Abhishek Kumar, Ben Poole
On Layer Normalization in the Transformer Architecture
Ruibin Xiong, Yunchang Yang, Di He et al.
On Learning Language-Invariant Representations for Universal Machine Translation
Han Zhao, Junjie Hu, Andrej Risteski
On Learning Sets of Symmetric Elements
Haggai Maron, Or Litany, Gal Chechik et al.
On Leveraging Pretrained GANs for Generation with Limited Data
Miaoyun Zhao, Yulai Cong, Lawrence Carin
Online Bayesian Moment Matching based SAT Solver Heuristics
Haonan Duan, Saeed Nejati, George Trimponias et al.
Online Continual Learning from Imbalanced Data
Aristotelis Chrysakis, Marie-Francine Moens
Online Control of the False Coverage Rate and False Sign Rate
Asaf Weinstein, Aaditya Ramdas
Online Convex Optimization in the Random Order Model
Dan Garber, Gal Korcia, Kfir Levy