Papers
Optimizing Mode Connectivity via Neuron Alignment
Norman Tatro, Pin-Yu Chen, Payel Das et al.
Calibrating Deep Neural Networks using Focal Loss
Jishnu Mukhoti, Viveka Kulharia, Amartya Sanyal et al.
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss
Shuang Qiu, Xiaohan Wei, Zhuoran Yang et al.
Learning Strategy-Aware Linear Classifiers
Yiling Chen, Yang Liu, Chara Podimata
Meta-Gradient Reinforcement Learning with an Objective Discovered Online
Zhongwen Xu, Hado P van Hasselt, Matteo Hessel et al.
Robust Multi-Object Matching via Iterative Reweighting of the Graph Connection Laplacian
Yunpeng Shi, Shaohan Li, Gilad Lerman
Distributionally Robust Local Non-parametric Conditional Estimation
Viet Anh Nguyen, Fan Zhang, Jose Blanchet et al.
Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation
Jianyuan Wang, Yiran Zhong, Yuchao Dai et al.
Learning to Incentivize Other Learning Agents
Jiachen Yang, Ang Li, Mehrdad Farajtabar et al.
Almost Optimal Model-Free Reinforcement Learningvia Reference-Advantage Decomposition
Zihan Zhang, Yuan Zhou, Xiangyang Ji
Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors
Jorio Cocola, Paul Hand, Vlad Voroninski
Supermasks in Superposition
Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu et al.
Finite Versus Infinite Neural Networks: an Empirical Study
Jaehoon Lee, Samuel Schoenholz, Jeffrey Pennington et al.
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control
Zhiyuan Xu, Kun Wu, Zhengping Che et al.
COBE: Contextualized Object Embeddings from Narrated Instructional Video
Gedas Bertasius, Lorenzo Torresani
Sharp uniform convergence bounds through empirical centralization
Cyrus Cousins, Matteo Riondato
Distributionally Robust Federated Averaging
Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi
A Randomized Algorithm to Reduce the Support of Discrete Measures
Francesco Cosentino, Harald Oberhauser, Alessandro Abate
A Fair Classifier Using Kernel Density Estimation
Jaewoong Cho, Gyeongjo Hwang, Changho Suh
The Autoencoding Variational Autoencoder
Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham et al.
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering
Ines Chami, Albert Gu, Vaggos Chatziafratis et al.
Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach
Peter W. Glynn, Ramesh Johari, Mohammad Rasouli
Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping
Eduard Gorbunov, Marina Danilova, Alexander Gasnikov
Learning to Select Best Forecast Tasks for Clinical Outcome Prediction
Yuan Xue, Nan Du, Anne Mottram et al.
Online learning with dynamics: A minimax perspective
Kush Bhatia, Karthik Sridharan