Mathematics & Optimization

A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation JMLR 2025 A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities AISTATS 2025 Are all models wrong? Fundamental limits in distribution-free empirical model falsification COLT 2025 A Reduction-Based Algorithm for the Clique Interdiction Problem IJCAI 2025 A Relaxed Symmetric Non-negative Matrix Factorization Approach for Community Discovery (Extended Abstract) IJCAI 2025 Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching ACL 2025 Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster ICML 2025 A Robust Hybrid ACC-PM Approach for Personal Sound Zones Interspeech 2025 A Sample Efficient Conditional Independence Test in the Presence of Discretization ICML 2025 A SAT-based Method for Counting All Singleton Attractors in Boolean Networks IJCAI 2025 A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior ACL 2025 ASTRA: A Negotiation Agent with Adaptive and Strategic Reasoning via Tool-integrated Action for Dynamic Offer Optimization EMNLP 2025 A Structural Complexity Analysis of Hierarchical Task Network Planning IJCAI 2025 A Sub-Problem Quantum Alternating Operator Ansatz for Correlation Clustering ICML 2025 A Subquadratic Time Approximation Algorithm for Individually Fair k-Center AISTATS 2025 A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions IJCAI 2025 A Survey on Bandit Learning in Matching Markets IJCAI 2025 Asymptotic Analysis of Weighted Fair Division IJCAI 2025 Asymptotic Fair Division: Chores Are Easier Than Goods IJCAI 2025 Asynchronous Decentralized Optimization with Constraints: Achievable Speeds of Convergence for Directed Graphs AISTATS 2025 Asynchronous Distributed Gaussian Process Regression AAAI 2025 A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization IJCAI 2025 A Thorough Comparison Between Independent Cascade and Susceptible-Infected-Recovered Models AAAI 2025 A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems ICLR 2025 A Trajectory-Based Bayesian Approach to Multi-Objective Hyperparameter Optimization with Epoch-Aware Trade-Offs UAI 2025