Papers
Offline Reinforcement Learning with Behavioral Supervisor Tuning
Padmanaba Srinivasan, William Knottenbelt
One-step Spiking Transformer with a Linear Complexity
Xiaotian Song, Andy Song, Rong Xiao et al.
Online Combinatorial Optimization with Group Fairness Constraints
Negin Golrezaei, Rad Niazadeh, Kumar Kshitij Patel et al.
Online Learning of Capacity-Based Preference Models
Margot Herin, Patrice Perny, Nataliya Sokolovska
Online Learning of Partitions in Additively Separable Hedonic Games
Saar Cohen, Noa Agmon
Online Learning with Off-Policy Feedback in Adversarial MDPs
Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Papini et al.
Online Sampling and Decision Making with Low Entropy
Mohammad Taghi Hajiaghayi, Dariusz R. Kowalski, Piotr Krysta et al.
Online Submodular Maximization via Adaptive Thresholds
Zhengchen Yang, Jiping Zheng
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint)
Mohit Kumar, Bernhard A. Moser, Lukas Fischer
On the Complexity of Finding Set Repairs for Data-Graphs (Abstract Reprint)
Sergio Abriola, Maria Vanina Martinez, Nina Pardal et al.
On the Computation of Example-Based Abductive Explanations for Random Forests
Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis et al.
On the Effects of Fairness to Adversarial Vulnerability
Cuong Tran, Keyu Zhu, Pascal Van Hentenryck et al.
On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models
Xinpeng Wang, Shitong Duan, Xiaoyuan Yi et al.
On the Logic of Theory Change Iteration of KM-Update, Revised
Liangda Fang, Tong Zhu, Quanlong Guan et al.
On the Power and Limitations of Examples for Description Logic Concepts
Balder ten Cate, Raoul Koudijs, Ana Ozaki
On the Pursuit of EFX for Chores: Non-existence and Approximations
Vasilis Christoforidis, Christodoulos Santorinaios
On Using Admissible Bounds for Learning Forward Search Heuristics
Carlos Núñez-Molina, Masataro Asai, Pablo Mesejo et al.
Optimal Auction Design with User Coupons in Advertising Systems
Xiaodong Liu, Zhikang Fan, Yiming Ding et al.
Optimal Extended Formulations from Optimal Dynamic Programming Algorithms
Mateus de Oliveira Oliveira, Wim Van den Broeck
Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation
Wei Wang, Hanyang Li, Ke Shi et al.
Optimality Guarantees for Particle Belief Approximation of POMDPs (Abstract Reprint)
Michael Lim, Tyler Becker, Mykel Kochenderfer et al.
Optimizing Prosumer Policies in Periodic Double Auctions Inspired by Equilibrium Analysis
Bharat Manvi, Sanjay Chandlekar, Easwar Subramanian
Optimizing Viscous Democracy
Ben Armstrong, Shiri Alouf-Heffetz, Nimrod Talmon