Papers
A Unified Approach to Fair Online Learning via Blackwell Approachability
Evgenii Chzhen, Christophe Giraud, Gilles Stoltz
A unified framework for bandit multiple testing
Ziyu Xu, Ruodu Wang, Aaditya Ramdas
A Unified View of cGANs with and without Classifiers
Si-An Chen, Chun-Liang Li, Hsuan-Tien Lin
A Universal Law of Robustness via Isoperimetry
Sebastien Bubeck, Mark Sellke
A universal probabilistic spike count model reveals ongoing modulation of neural variability
David Liu, Mate Lengyel
Autobahn: Automorphism-based Graph Neural Nets
Erik Thiede, Wenda Zhou, Risi Kondor
AutoBalance: Optimized Loss Functions for Imbalanced Data
Mingchen Li, Xuechen Zhang, Christos Thrampoulidis et al.
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation
Fenglin Liu, Chenyu You, Xian Wu et al.
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
Haixu Wu, Jiehui Xu, Jianmin Wang et al.
AutoGEL: An Automated Graph Neural Network with Explicit Link Information
Zhili Wang, Shimin DI, Lei Chen
Automated Discovery of Adaptive Attacks on Adversarial Defenses
Chengyuan Yao, Pavol Bielik, Petar Tsankov et al.
Automated Dynamic Mechanism Design
Hanrui Zhang, Vincent Conitzer
Automatic and Harmless Regularization with Constrained and Lexicographic Optimization: A Dynamic Barrier Approach
Chengyue Gong, Xingchao Liu, Qiang Liu
Automatic Data Augmentation for Generalization in Reinforcement Learning
Roberta Raileanu, Maxwell Goldstein, Denis Yarats et al.
Automatic Symmetry Discovery with Lie Algebra Convolutional Network
Nima Dehmamy, Robin Walters, Yanchen Liu et al.
Automatic Unsupervised Outlier Model Selection
Yue Zhao, Ryan Rossi, Leman Akoglu
Automorphic Equivalence-aware Graph Neural Network
Fengli Xu, Quanming Yao, Pan Hui et al.
Autonomous Reinforcement Learning via Subgoal Curricula
Archit Sharma, Abhishek Gupta, Sergey Levine et al.
A variational approximate posterior for the deep Wishart process
Sebastian Ober, Laurence Aitchison
A Variational Perspective on Diffusion-Based Generative Models and Score Matching
Chin-Wei Huang, Jae Hyun Lim, Aaron C. Courville
Average-Reward Learning and Planning with Options
Yi Wan, Abhishek Naik, Rich Sutton
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
Jason Altschuler, Sinho Chewi, Patrik R Gerber et al.
A Winning Hand: Compressing Deep Networks Can Improve Out-of-Distribution Robustness
James Diffenderfer, Brian Bartoldson, Shreya Chaganti et al.
Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others
Kanishk Gandhi, Gala Stojnic, Brenden M Lake et al.
Backdoor Attack with Imperceptible Input and Latent Modification
Khoa Doan, Yingjie Lao, Ping Li