Papers
An Improved Analysis of Stochastic Gradient Descent with Momentum
Yanli Liu, Yuan Gao, Wotao Yin
The Convolution Exponential and Generalized Sylvester Flows
Emiel Hoogeboom, Victor Garcia Satorras, Jakub Tomczak et al.
Improving model calibration with accuracy versus uncertainty optimization
Ranganath Krishnan, Omesh Tickoo
Byzantine Resilient Distributed Multi-Task Learning
Jiani Li, Waseem Abbas, Xenofon Koutsoukos
Learning Robust Decision Policies from Observational Data
Muhammad Osama, Dave Zachariah, Peter Stoica
Truthful Data Acquisition via Peer Prediction
Yiling Chen, Yiheng Shen, Shuran Zheng
Worst-Case Analysis for Randomly Collected Data
Justin Chen, Gregory Valiant, Paul Valiant
3D Self-Supervised Methods for Medical Imaging
Aiham Taleb, Winfried Loetzsch, Noel Danz et al.
Learning to Prove Theorems by Learning to Generate Theorems
Mingzhe Wang, Jia Deng
Decision trees as partitioning machines to characterize their generalization properties
Jean-Samuel Leboeuf, Frédéric LeBlanc, Mario Marchand
Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding
Zhu Zhang, Zhou Zhao, Zhijie Lin et al.
Bi-level Score Matching for Learning Energy-based Latent Variable Models
Fan Bao, Chongxuan LI, Kun Xu et al.
WoodFisher: Efficient Second-Order Approximation for Neural Network Compression
Sidak Pal Singh, Dan Alistarh
Hybrid Models for Learning to Branch
Prateek Gupta, Maxime Gasse, Elias Khalil et al.
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces
Guy Lorberbom, Chris J Maddison, Nicolas Heess et al.
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data
Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh et al.
Effective Diversity in Population Based Reinforcement Learning
Jack Parker-Holder, Aldo Pacchiano, Krzysztof M Choromanski et al.
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees
Shali Jiang, Daniel Jiang, Maximilian Balandat et al.
Distributed Newton Can Communicate Less and Resist Byzantine Workers
Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling
Moshe Eliasof, Eran Treister
Inverse Learning of Symmetries
Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek et al.
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
Thomas Anthony, Tom Eccles, Andrea Tacchetti et al.
Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatment
Yuan Chen, Donglin Zeng, Tianchen Xu et al.