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Papers
Bridging Fairness and Efficiency in Conformal Inference: A Surrogate-Assisted Group-Clustered Approach
ICML 2025
Efficient Optimal PAC Learning
ALT 2025
Improving Diversity in Language Models: When Temperature Fails, Change the Loss
ICML 2025
Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning
ICML 2025
Near-Optimal Consistency-Robustness Trade-Offs for Learning-Augmented Online Knapsack Problems
ICML 2025
Pareto-Optimality, Smoothness, and Stochasticity in Learning-Augmented One-Max-Search
ICML 2025
Position: Political Neutrality in AI Is Impossible — But Here Is How to Approximate It
ICML 2025
Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization
ICML 2025
Selective Preference Aggregation
ICML 2025
The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning
ICLR 2025
Trade-offs in Data Memorization via Strong Data Processing Inequalities
COLT 2025
Diversified Batch Selection for Training Acceleration
ICML 2024
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning
ICML 2024
Multi-Objective Learning for Deformable Image Registration
MIDL 2024
Non-clairvoyant Scheduling with Partial Predictions
ICML 2024
Optimizing Watermarks for Large Language Models
ICML 2024
Switchable Decision: Dynamic Neural Generation Networks
ICML 2024
The Fundamental Limits of Least-Privilege Learning
ICML 2024
Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning
ICML 2024