Papers
Online Control for Meta-optimization
Xinyi Chen, Elad Hazan
Online Convex Optimization with Unbounded Memory
Raunak Kumar, Sarah Dean, Robert D. Kleinberg
Online Corrupted User Detection and Regret Minimization
Zhiyong Wang, Jize Xie, Tong Yu et al.
Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization
Massil HIHAT, Stéphane Gaïffas, Guillaume Garrigos et al.
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms
Dheeraj Baby, Saurabh Garg, Tzu-Ching Yen et al.
Online learning of long-range dependencies
Nicolas Zucchet, Robert Meier, Simon Schug et al.
Online Learning under Adversarial Nonlinear Constraints
Pavel Kolev, Georg Martius, Michael Muehlebach
Online List Labeling with Predictions
Samuel McCauley, Ben Moseley, Aidin Niaparast et al.
Online Map Vectorization for Autonomous Driving: A Rasterization Perspective
Gongjie Zhang, Jiahao Lin, Shuang Wu et al.
Online (Multinomial) Logistic Bandit: Improved Regret and Constant Computation Cost
Yu-Jie Zhang, Masashi Sugiyama
Online Nonstochastic Model-Free Reinforcement Learning
Udaya Ghai, Arushi Gupta, Wenhan Xia et al.
Online PCA in Converging Self-consistent Field Equations
Xihan Li, Xiang Chen, Rasul Tutunov et al.
Online Performative Gradient Descent for Learning Nash Equilibria in Decision-Dependent Games
Zihan Zhu, Ethan Fang, Zhuoran Yang
Online POMDP Planning with Anytime Deterministic Guarantees
Moran Barenboim, Vadim Indelman
Online Pricing for Multi-User Multi-Item Markets
Yigit Efe Erginbas, Thomas Courtade, Kannan Ramchandran et al.
Online RL in Linearly $q^\pi$-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore
Gellert Weisz, András György, Csaba Szepesvari
Online robust non-stationary estimation
Abishek Sankararaman, Balakrishnan Narayanaswamy
On Masked Pre-training and the Marginal Likelihood
Pablo Moreno-Muñoz, Pol Garcia Recasens, Søren Hauberg
On Measuring Fairness in Generative Models
Christopher Teo, Milad Abdollahzadeh, Ngai-Man (Man) Cheung
On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes
Rajat Modi, Vibhav Vineet, Yogesh Rawat
On permutation symmetries in Bayesian neural network posteriors: a variational perspective
Simone Rossi, Ankit Singh, Thomas Hannagan
On Private and Robust Bandits
Yulian Wu, Xingyu Zhou, Youming Tao et al.
On Proper Learnability between Average- and Worst-case Robustness
Vinod Raman, UNIQUE SUBEDI, Ambuj Tewari
On quantum backpropagation, information reuse, and cheating measurement collapse
Amira Abbas, Robbie King, Hsin-Yuan Huang et al.
On Robust Streaming for Learning with Experts: Algorithms and Lower Bounds
David Woodruff, Fred Zhang, Samson Zhou