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Mathematics & Optimization

19,283 papers (0 classified directly here)

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Papers (including subtopics)

Random Scaling and Momentum for Non-smooth Non-convex Optimization ICML 2024 Random Smoothing Regularization in Kernel Gradient Descent Learning JMLR 2024 Random Subgraph Detection Using Queries JMLR 2024 Rate-Optimal Policy Optimization for Linear Markov Decision Processes ICML 2024 Reachability of Fair Allocations via Sequential Exchanges AAAI 2024 Real-Time Selection Under General Constraints via Predictive Inference NeurIPS 2024 Real-World Networks Are Low-Dimensional: Theoretical and Practical Assessment IJCAI 2024 Reasoning about Network Traffic Load Property at Production Scale NSDI 2024 Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents NeurIPS 2024 Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization AAAI 2024 Reconstructing the Geometry of Random Geometric Graphs (Extended Abstract) COLT 2024 Recovery Guarantees for Distributed-OMP AISTATS 2024 Rectangle Search: An Anytime Beam Search AAAI 2024 Recursive Estimation of Conditional Kernel Mean Embeddings JMLR 2024 Recursively feasible shrinking-horizon MPC in dynamic environments with conformal prediction guarantees L4DC 2024 Reducing Balancing Error for Causal Inference via Optimal Transport ICML 2024 ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution NeurIPS 2024 Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations ICML 2024 Refined Characterizations of Approval-Based Committee Scoring Rules AAAI 2024 Refining rtMRI Landmark-Based Vocal Tract Contour Labels with FCN-Based Smoothing and Point-to-Curve Projection COLING 2024 Reflected Schrödinger Bridge for Constrained Generative Modeling UAI 2024 Regret Analysis of Bilateral Trade with a Smoothed Adversary JMLR 2024 Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes AAAI 2024 Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference NeurIPS 2024 Reinforcement learning-driven parametric curve fitting for snake robot gait design L4DC 2024