Papers
Finding Dynamics Preserving Adversarial Winning Tickets
Xupeng Shi, Pengfei Zheng, A. Adam Ding et al.
Finding Nearly Everything within Random Binary Networks
Kartik Sreenivasan, Shashank Rajput, Jy-Yong Sohn et al.
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge
Abhin Shah, Karthikeyan Shanmugam, Kartik Ahuja
Finite Sample Analysis of Mean-Volatility Actor-Critic for Risk-Averse Reinforcement Learning
Khaled Eldowa, Lorenzo Bisi, Marcello Restelli
Firebolt: Weak Supervision Under Weaker Assumptions
Zhaobin Kuang, Chidubem G. Arachie, Bangyong Liang et al.
Fixed Support Tree-Sliced Wasserstein Barycenter
Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva et al.
Flexible Accuracy for Differential Privacy
Aman Bansal, Rahul Chunduru, Deepesh Data et al.
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning
Elnur Gasanov, Ahmed Khaled, Samuel Horváth et al.
Forward Looking Best-Response Multiplicative Weights Update Methods for Bilinear Zero-sum Games
Michail Fasoulakis, Evangelos Markakis, Yannis Pantazis et al.
Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity
Joshua K. Behne, Galen Reeves
GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL
Sumedh A. Sontakke, Stephen Iota, Zizhao Hu et al.
Gap-Dependent Bounds for Two-Player Markov Games
Zehao Dou, Zhuoran Yang, Zhaoran Wang et al.
Gap-Dependent Unsupervised Exploration for Reinforcement Learning
Jingfeng Wu, Vladimir Braverman, Lin Yang
Gaussian Process Bandit Optimization with Few Batches
Zihan Li, Jonathan Scarlett
Generalised GPLVM with Stochastic Variational Inference
Vidhi Lalchand, Aditya Ravuri, Neil D. Lawrence
Generalized Group Testing
Xiwei Cheng, Sidharth Jaggi, Qiaoqiao Zhou
Generative Models as Distributions of Functions
Emilien Dupont, Yee Whye Teh, Arnaud Doucet
GraphAdaMix: Enhancing Node Representations with Graph Adaptive Mixtures
Da Sun Handason Tam, Siyue Xie, Wing Cheong Lau
Grassmann Stein Variational Gradient Descent
Xing Liu, Harrison Zhu, Jean-Francois Ton et al.
Hardness of Learning a Single Neuron with Adversarial Label Noise
Ilias Diakonikolas, Daniel Kane, Pasin Manurangsi et al.
Harmless interpolation in regression and classification with structured features
Andrew D. Mcrae, Santhosh Karnik, Mark Davenport et al.
Heavy-tailed Streaming Statistical Estimation
Che-Ping Tsai, Adarsh Prasad, Sivaraman Balakrishnan et al.
Hierarchical Bayesian Bandits
Joey Hong, Branislav Kveton, Manzil Zaheer et al.
How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization
Shivam Garg, Santosh Vempala
How to Learn when Data Gradually Reacts to Your Model
Zachary Izzo, James Zou, Lexing Ying