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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)

Theoretical Guarantees for Minimum Bayes Risk Decoding ACL 2025 Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems CVPR 2025 Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization IJCAI 2025 Theoretical Limitations of Ensembles in the Age of Overparameterization ICML 2025 Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models ICML 2025 Theoretical Performance Guarantees for Partial Domain Adaptation via Partial Optimal Transport ICML 2025 Theory, Analysis, and Best Practices for Sigmoid Self-Attention ICLR 2025 Theory-Inspired Deep Multi-View Multi-Label Learning with Incomplete Views and Noisy Labels CVPR 2025 Theory of Agreement-on-the-Line in Linear Models and Gaussian Data AISTATS 2025 Theory on Mixture-of-Experts in Continual Learning ICLR 2025 Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers ICLR 2025 The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret ICML 2025 The Pitfalls of Imitation Learning when Actions are Continuous COLT 2025 The Pitfalls of Memorization: When Memorization Hurts Generalization ICLR 2025 The Pivoting Framework: Frank-Wolfe Algorithms with Active Set Size Control AISTATS 2025 The Polynomial Stein Discrepancy for Assessing Moment Convergence ICML 2025 The Power of Random Features and the Limits of Distribution-Free Gradient Descent ICML 2025 The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs in Equivariant Tensor Products ICML 2025 The Price of Linear Time: Error Analysis of Structured Kernel Interpolation ICML 2025 The Progress Illusion: Revisiting meta-evaluation standards of LLM evaluators EMNLP 2025 The Ranking Trick: A Simple and Robust Alternative to Score-Based Regression for AutoML AutoML 2025 The Reasoning-Memorization Interplay in Language Models Is Mediated by a Single Direction ACL 2025 The Relationship Between No-Regret Learning and Online Conformal Prediction ICML 2025 There’s No Such Thing as Simple Reasoning for LLMs ACL 2025 The Role of Deductive and Inductive Reasoning in Large Language Models ACL 2025