Papers
Detection as Regression: Certified Object Detection with Median Smoothing
Ping-yeh Chiang, Michael Curry, Ahmed Abdelkader et al.
Provably Good Batch Off-Policy Reinforcement Learning Without Great Exploration
Yao Liu, Adith Swaminathan, Alekh Agarwal et al.
Planning in Markov Decision Processes with Gap-Dependent Sample Complexity
Anders Jonsson, Emilie Kaufmann, Pierre Menard et al.
Understanding Deep Architecture with Reasoning Layer
Xinshi Chen, Yufei Zhang, Christoph Reisinger et al.
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
Christopher Frye, Colin Rowat, Ilya Feige
Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation
Yuxi Li, Ning Xu, Jinlong Peng et al.
Ensembling geophysical models with Bayesian Neural Networks
Ushnish Sengupta, Matt Amos, Scott Hosking et al.
Online Influence Maximization under Linear Threshold Model
Shuai Li, Fang Kong, Kejie Tang et al.
Conservative Q-Learning for Offline Reinforcement Learning
Aviral Kumar, Aurick Zhou, George Tucker et al.
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity
Kaiqing Zhang, Sham Kakade, Tamer Basar et al.
Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems
Junchi Yang, Negar Kiyavash, Niao He
Adaptation Properties Allow Identification of Optimized Neural Codes
Luke Rast, Jan Drugowitsch
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond
Kaidi Xu, Zhouxing Shi, Huan Zhang et al.
On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems
Panayotis Mertikopoulos, Nadav Hallak, Ali Kavis et al.
Model Selection for Production System via Automated Online Experiments
Zhenwen Dai, Praveen Chandar, Ghazal Fazelnia et al.
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering
Jingtao Ding, Yuhan Quan, Quanming Yao et al.
Blind Video Temporal Consistency via Deep Video Prior
Chenyang Lei, Yazhou Xing, Qifeng Chen
Taming Discrete Integration via the Boon of Dimensionality
Jeffrey Dudek, Dror Fried, Kuldeep S Meel
Discovering Reinforcement Learning Algorithms
Junhyuk Oh, Matteo Hessel, Wojciech M. Czarnecki et al.
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring
Jiangxin Dong, Stefan Roth, Bernt Schiele
Adaptive Sampling for Stochastic Risk-Averse Learning
Sebastian Curi, Kfir Y. Levy, Stefanie Jegelka et al.
Improved Schemes for Episodic Memory-based Lifelong Learning
Yunhui Guo, Mingrui Liu, Tianbao Yang et al.
Bayesian Deep Ensembles via the Neural Tangent Kernel
Bobby He, Balaji Lakshminarayanan, Yee Whye Teh
Coresets for Near-Convex Functions
Murad Tukan, Alaa Maalouf, Dan Feldman
Sinkhorn Barycenter via Functional Gradient Descent
Zebang Shen, Zhenfu Wang, Alejandro Ribeiro et al.