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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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'25

Papers (including subtopics)

Stochastic Interior-Point Methods for Smooth Conic Optimization with Applications JMLR 2025 Stochasticity-aware No-Reference Point Cloud Quality Assessment IJCAI 2025 Stochastic Layer-Wise Shuffle for Improving Vision Mamba Training ICML 2025 Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback AAAI 2025 Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance ICLR 2025 Stochastic Real-Time Deception in Nash Equilibrium Seeking for Games with Quadratic Payoffs L4DC 2025 Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation ICLR 2025 Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints ICML 2025 Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold ICLR 2025 Stop Jostling: Adaptive Negative Sampling Reduces the Marginalization of Low-Resource Language Tokens by Cross-Entropy Loss COLING 2025 Stop Learning it all to Mitigate Visual Hallucination, Focus on the Hallucination Target. CVPR 2025 Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent CVPR 2025 Stories that (are) Move(d by) Markets: A Causal Exploration of Market Shocks and Semantic Shifts across Different Partisan Groups ACL 2025 STORM-BORN: A Challenging Mathematical Derivations Dataset Curated via a Human-in-the-Loop Multi-Agent Framework ACL 2025 STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving ICML 2025 Strategic Classification With Externalities ICLR 2025 Strategic Conformal Prediction AISTATS 2025 Strategy Coopetition Explains the Emergence and Transience of In-Context Learning ICML 2025 Strategyproof Learning with Advice ALT 2025 StreamDiffusion: A Pipeline-level Solution for Real-Time Interactive Generation ICCV 2025 Streamlining Prediction in Bayesian Deep Learning ICLR 2025 Streamlining the Collaborative Chain of Models into A Single Forward Pass in Generation-Based Tasks ACL 2025 STREAQ: Selective Tiered Routing for Effective and Affordable Contact Center Quality Assurance EMNLP 2025 Strengthen Out-of-Distribution Detection Capability with Progressive Self-Knowledge Distillation ICML 2025 Stress-Testing the Reasoning Competence of Language Models With Formal Proofs EMNLP 2025