Papers
Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks
Waleed Mustafa, Philipp Liznerski, Antoine Ledent et al.
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints
Arpan Losalka, Jonathan Scarlett
Offline Policy Evaluation and Optimization Under Confounding
Chinmaya Kausik, Yangyi Lu, Kevin Tan et al.
Offline Primal-Dual Reinforcement Learning for Linear MDPs
Germano Gabbianelli, Gergely Neu, Matteo Papini et al.
On Convergence in Wasserstein Distance and f-divergence Minimization Problems
Cheuk Ting Li, Jingwei Zhang, Farzan Farnia
On Counterfactual Metrics for Social Welfare: Incentives, Ranking, and Information Asymmetry
Serena Wang, Stephen Bates, P Aronow et al.
On cyclical MCMC sampling
Liwei Wang, Xinru Liu, Aaron Smith et al.
On-Demand Federated Learning for Arbitrary Target Class Distributions
Isu Jeong, Seulki Lee
On Feynman-Kac training of partial Bayesian neural networks
Zheng Zhao, Sebastian Mair, Thomas B. Schön et al.
On learning history-based policies for controlling Markov decision processes
Gandharv Patil, Aditya Mahajan, Doina Precup
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods
Davoud Ataee Tarzanagh, Parvin Nazari, Bojian Hou et al.
Online Calibrated and Conformal Prediction Improves Bayesian Optimization
Shachi Deshpande, Charles Marx, Volodymyr Kuleshov
Online Distribution Learning with Local Privacy Constraints
Jin Sima, Changlong Wu, Olgica Milenkovic et al.
Online learning in bandits with predicted context
Yongyi Guo, Ziping Xu, Susan Murphy
Online Learning in Contextual Second-Price Pay-Per-Click Auctions
Mengxiao Zhang, Haipeng Luo
Online Learning of Decision Trees with Thompson Sampling
Ayman Chaouki, Jesse Read, Albert Bifet
Online multiple testing with e-values
Ziyu Xu, Aaditya Ramdas
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization
Alejandro D. de la Concha Duarte, Nicolas Vayatis, Argyris Kalogeratos
On Parameter Estimation in Deviated Gaussian Mixture of Experts
Huy Nguyen, Khai Nguyen, Nhat Ho
On Ranking-based Tests of Independence
Myrto Limnios, Stéphan Clémençon
On the connection between Noise-Contrastive Estimation and Contrastive Divergence
Amanda Olmin, Jakob Lindqvist, Lennart Svensson et al.
On the Effect of Key Factors in Spurious Correlation: A theoretical Perspective
Yipei Wang, Xiaoqian Wang
On the estimation of persistence intensity functions and linear representations of persistence diagrams
Weichen Wu, Jisu Kim, Alessandro Rinaldo
On the Expected Size of Conformal Prediction Sets
Guneet S. Dhillon, George Deligiannidis, Tom Rainforth
On the Generalization Ability of Unsupervised Pretraining
Yuyang Deng, Junyuan Hong, Jiayu Zhou et al.