Papers
Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond
Hengquan Guo, Xin Liu, Honghao Wei et al.
Online Decision Mediation
Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
Online Deep Equilibrium Learning for Regularization by Denoising
Jiaming Liu, Xiaojian Xu, Weijie Gan et al.
Online Frank-Wolfe with Arbitrary Delays
Yuanyu Wan, Wei-Wei Tu, Lijun Zhang
Online Learning and Pricing for Network Revenue Management with Reusable Resources
Huiwen Jia, Cong Shi, Siqian Shen
Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications
Daniel D. Lee, Georgy Noarov, Mallesh Pai et al.
Online Neural Sequence Detection with Hierarchical Dirichlet Point Process
Weihan Li, Yu Qi, Gang Pan
Online PAC-Bayes Learning
Maxime Haddouche, Benjamin Guedj
Online Reinforcement Learning for Mixed Policy Scopes
Junzhe Zhang, Elias Bareinboim
Online Training Through Time for Spiking Neural Networks
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang et al.
On Margin Maximization in Linear and ReLU Networks
Gal Vardi, Ohad Shamir, Nati Srebro
On Margins and Generalisation for Voting Classifiers
Felix Biggs, Valentina Zantedeschi, Benjamin Guedj
On Measuring Excess Capacity in Neural Networks
Florian Graf, Sebastian Zeng, Bastian Rieck et al.
On Non-Linear operators for Geometric Deep Learning
Grégoire Sergeant-Perthuis, Jakob Maier, Joan Bruna et al.
On Optimal Learning Under Targeted Data Poisoning
Steve Hanneke, Amin Karbasi, Mohammad Mahmoody et al.
On Privacy and Personalization in Cross-Silo Federated Learning
Ken Liu, Shengyuan Hu, Steven Z. Wu et al.
On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting
Tomasz Korbak, Hady Elsahar, Germán Kruszewski et al.
On Robust Multiclass Learnability
Jingyuan Xu, Weiwei Liu
On Sample Optimality in Personalized Collaborative and Federated Learning
Mathieu Even, Laurent Massoulié, Kevin Scaman
On Scalable Testing of Samplers
Yash Pote, Kuldeep S Meel
On Scrambling Phenomena for Randomly Initialized Recurrent Networks
Vaggos Chatziafratis, Ioannis Panageas, Clayton Sanford et al.
On the Adversarial Robustness of Mixture of Experts
Joan Puigcerver, Rodolphe Jenatton, Carlos Riquelme et al.
On the Complexity of Adversarial Decision Making
Dylan J Foster, Alexander Rakhlin, Ayush Sekhari et al.
On the consistent estimation of optimal Receiver Operating Characteristic (ROC) curve
Renxiong Liu, Yunzhang Zhu
On the convergence of policy gradient methods to Nash equilibria in general stochastic games
Angeliki Giannou, Kyriakos Lotidis, Panayotis Mertikopoulos et al.