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Papers (including subtopics)

Preconditioners for the Stochastic Training of Neural Fields CVPR 2025 Predicting quantum channels over general product distributions COLT 2025 Prediction-Aware Learning in Multi-Agent Systems ICML 2025 Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction Problems AAAI 2025 Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation IJCAI 2025 Preserving AUC Fairness in Learning with Noisy Protected Groups ICML 2025 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 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 Proper losses regret at least 1/2-order JMLR 2025 Proportionally Fair Matching via Randomized Rounding AAAI 2025