Mathematics & Optimization

Principal-Agent Bandit Games with Self-Interested and Exploratory Learning Agents ICML 2025 PrioriTouch: Adapting to User Contact Preferences for Whole-Arm Physical Human-Robot Interaction CoRL 2025 Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation ICML 2025 Private Blotto: Viewpoint Competition with Polarized Agents AAAI 2025 Private List Learnability vs. Online List Learnability COLT 2025 Private Lossless Multiple Release ICML 2025 Privately Counting Partially Ordered Data ICLR 2025 Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags AAAI 2025 Proactive Data-driven Scheduling of Business Processes IJCAI 2025 Probabilistic Explanations for Regression Models UAI 2025 Probabilistic Factorial Experimental Design for Combinatorial Interventions ICML 2025 Probabilistic Strategy Logic with Degrees of Observability AAAI 2025 Probability Distribution Collapse: A Critical Bottleneck to Compact Unsupervised Neural Grammar Induction EMNLP 2025 Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions IJCAI 2025 Procurement Auctions via Approximately Optimal Submodular Optimization ICML 2025 Progressive Correspondence Regenerator for Robust 3D Registration CVPR 2025 Projection Pursuit Density Ratio Estimation ICML 2025 Proofs as Explanations: Short Certificates for Reliable Predictions COLT 2025 Proof Simulation via Round-based Strategy Extraction for QBF AAAI 2025 Proper losses regret at least 1/2-order JMLR 2025 Proportionally Fair Matching via Randomized Rounding AAAI 2025 Proportional Representation in Practice: Quantifying Proportionality in Ordinal Elections AAAI 2025 Protein Fitness Landscape: Spectral Graph Theory Perspective AISTATS 2025 Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent ICML 2025 Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling ICLR 2025