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Mathematics & Optimization

19,283 papers (0 classified directly here)

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Papers (including subtopics)

Regret Bounds for Episodic Risk-Sensitive Linear Quadratic Regulator ICLR 2025 Regularity in Canonicalized Models: A Theoretical Perspective AISTATS 2025 Regularized Dikin Walks for Sampling Truncated Logconcave Measures, Mixed Isoperimetry and Beyond Worst-Case Analysis COLT 2025 Regularized Langevin Dynamics for Combinatorial Optimization ICML 2025 Regular-pattern-sensitive CRFs for Distant Label Interactions ACL 2025 Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss ICML 2025 Relation-Augmented Dueling Bayesian Optimization via Preference Propagation IJCAI 2025 Relative Error Fair Clustering in the Weak-Strong Oracle Model ICML 2025 Relax and Merge: A Simple Yet Effective Framework for Solving Fair k-Means and k-sparse Wasserstein Barycenter Problems ICLR 2025 Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization JMLR 2025 Replicating Electoral Success AAAI 2025 Replication-proof Bandit Mechanism Design with Bayesian Agents AAAI 2025 Representation Preserving Multiclass Agnostic to Realizable Reduction ICML 2025 Representer Theorems for Metric and Preference Learning: Geometric Insights and Algorithms AISTATS 2025 Reputation-aware Revenue Allocation for Auction-based Federated Learning AAAI 2025 Resistance is Futile: Gradually Declining Immunity Retains the Exponential Duration of Immunity-Free Diffusion IJCAI 2025 Resource Constrained Pathfinding with Enhanced Bidirectional A* Search AAAI 2025 Responsibility-aware Strategic Reasoning in Probabilistic Multi-Agent Systems AAAI 2025 ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers ICCV 2025 RESuM: A Rare Event Surrogate Model for Physics Detector Design ICLR 2025 Rethinking Light Decoder-based Solvers for Vehicle Routing Problems ICLR 2025 Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding ICLR 2025 Rethinking the Adversarial Robustness of Multi-Exit Neural Networks in an Attack-Defense Game CVPR 2025 Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory ACL 2025 Revealing Concept Shift in Spatio-Temporal Graphs via State Learning IJCAI 2025