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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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Papers (including subtopics)

ART: Attention-Regularized Transformers for Multi-Modal Robustness EACL 2026 A Scalable and Exact Relaxation for Densest k-Subgraph via Error Bounds AAAI 2026 AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin AAAI 2026 A simple, optimal and efficient algorithm for online exp-concave optimization COLT 2026 A Single-Loop Stochastic Proximal Quasi-Newton Method for Large-Scale Nonsmooth Convex Optimization JMLR 2026 A Single Stepsize Suffices for Unprojected Linear TD(0): Simultaneous Robust and Fast Rates via Polyak–Ruppert Averaging COLT 2026 ASKD: Reinforcement Learning-Style Knowledge Distillation with Quality-Adaptive Skewness AAAI 2026 Assignment Problems in Cost Function Networks AAAI 2026 Assumed Density Filtering and Smoothing with Neural Network Surrogate Models L4DC 2026 A Switching Framework for Online Interval Scheduling with Predictions AAAI 2026 A Symplectic Analysis of Alternating Mirror Descent JMLR 2026 Asymptotic and Finite Sample Analysis of Nonexpansive Stochastic Approximations with Markovian Noise AAAI 2026 Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Models JMLR 2026 AT-Field: Rethinking the Games in Adversarial Training AAAI 2026 A Theoretical Analysis of Detecting Large Model-Generated Time Series AAAI 2026 A Theoretical Model for Grit in Pursuing Ambitious Ends AAAI 2026 A Tight Lower Bound for Non-stochastic Multi-armed Bandits with Expert Advice COLT 2026 A Topological Rewriting of Tarski’s Mereogeometry AAAI 2026 Attribute-Controlled Translation with Preference Optimization EACL 2026 A Two-Timescale Primal-Dual Framework for Reinforcement Learning via Online Dual Variable Guidance JMLR 2026 Audio-Thinker: Guiding Large Audio Language Model When and How to Think via Reinforcement Learning AAAI 2026 Augmented Runtime Collaboration for Self-Organizing Multi-Agent Systems: A Hybrid Bi-Criteria Routing Approach AAAI 2026 A Unified Convergence Analysis for Semi-Decentralized Learning: Sampled-to-Sampled vs. Sampled-to-All Communication AAAI 2026 A Unified Framework for Locality in Scalable MARL L4DC 2026 A Unified Lower Bound on the Noisy Query Complexity of Boolean Functions COLT 2026