Papers
660 papers found
Identity testing for Mallows model
Róbert Busa-Fekete, Dimitris Fotakis, Balazs Szorenyi et al.
Optimal Sketching for Trace Estimation
Shuli Jiang, Hai Pham, David Woodruff et al.
Reward is enough for convex MDPs
Tom Zahavy, Brendan O'Donoghue, Guillaume Desjardins et al.
Post-processing for Individual Fairness
Felix Petersen, Debarghya Mukherjee, Yuekai Sun et al.
Neural Trees for Learning on Graphs
Rajat Talak, Siyi Hu, Lisa Peng et al.
Few-Round Learning for Federated Learning
Younghyun Park, Dong-Jun Han, Do-Yeon Kim et al.
Adaptive Sampling for Discovery
Ziping Xu, Eunjae Shim, Ambuj Tewari et al.
Are GANs overkill for NLP?
David Alvarez-Melis, Vikas Garg, Adam Kalai
Peer Prediction for Learning Agents
Shi Feng, Fang-Yi Yu, Yiling Chen
Beyond Mahalanobis Distance for Textual OOD Detection
Pierre Colombo, Eduardo Dadalto, Guillaume Staerman et al.
Sharpness-Aware Training for Free
JIAWEI DU, Daquan Zhou, Jiashi Feng et al.
A contrastive rule for meta-learning
Nicolas Zucchet, Simon Schug, Johannes von Oswald et al.
Minimax Regret for Cascading Bandits
Daniel Vial, Sujay Sanghavi, Sanjay Shakkottai et al.
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization
Qishi Dong, Awais Muhammad, Fengwei Zhou et al.
Coreset for Line-Sets Clustering
Sagi Lotan, Ernesto Evgeniy Sanches Shayda, Dan Feldman
PAC Prediction Sets for Meta-Learning
Sangdon Park, Edgar Dobriban, Insup Lee et al.
Moral Responsibility for AI Systems
Sander Beckers
Balanced Training for Sparse GANs
Yite Wang, Jing Wu, NAIRA HOVAKIMYAN et al.
Kernel-Based Tests for Likelihood-Free Hypothesis Testing
Patrik Robert Gerber, Tianze Jiang, Yury Polyanskiy et al.
What Makes Good Examples for Visual In-Context Learning?
Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu
Online Control for Meta-optimization
Xinyi Chen, Elad Hazan
D-Separation for Causal Self-Explanation
Wei Liu, Jun Wang, Haozhao Wang et al.
Causal Fairness for Outcome Control
Drago Plecko, Elias Bareinboim
Is Learning in Games Good for the Learners?
William Brown, Jon Schneider, Kiran Vodrahalli
LIMA: Less Is More for Alignment
Chunting Zhou, Pengfei Liu, Puxin Xu et al.