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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)

SCAN: Self-Calibrated AutoregressioN for High-Quality Visual Generation AAAI 2026 SchemaGraphSQL: Efficient Schema Linking with Pathfinding Graph Algorithms for Text-to-SQL on Large-Scale Databases EACL 2026 Scientifically-Interpretable Reasoning Network (ScIReN): Discovering Hidden Relationships in the Carbon Cycle and Beyond AAAI 2026 Score-Based Model for Low-Rank Tensor Recovery AAAI 2026 SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization WACV 2026 SCOUT: Selective Coupling via Optimal Unbalanced Transport for Interpretable Text Classification ACL 2026 S-D-RSM: Stochastic Distributed Regularized Splitting Method for Large-Scale Convex Optimization Problems AAAI 2026 SEAM: Bridging the Temporal-Semantic Granularity Gap for LLM-based Speech Recognition EACL 2026 Second-Order Bounds for $[0,1]$-Valued Regression via Betting Loss COLT 2026 Seeing What Matters: Visual Preference Policy Optimization for Visual Generation CVPR 2026 SELENE: Selective and Evidence-Weighted LLM Debating for Efficient and Reliable Reasoning EACL 2026 Self-Concordant Perturbations for Linear Bandits COLT 2026 Self-Normalized Martingales and Uniform Regret Bounds for Linear Regression COLT 2026 Self-Regulating Cars: Automating Traffic Control in Free Flow Road Networks AAAI 2026 Semantic Volume: Quantifying and Detecting Both External and Internal Uncertainty in LLMs AAAI 2026 Semi-supervised Domain Adaptation via Mutual Alignment through Joint Error WACV 2026 Separating Oblivious and Adaptive Models of Variable Selection (Extended Abstract) COLT 2026 SFedHIFI: Fire Rate-Based Heterogeneous Information Fusion for Spiking Federated Learning AAAI 2026 Shape-of-You: Fused Gromov-Wasserstein Optimal Transport for Semantic Correspondence in-the-Wild CVPR 2026 Shaping Parameter Contribution Patterns for Out-of-Distribution Detection AAAI 2026 Shapley Value Approximation Based on k-Additive Games AAAI 2026 SharedRep-RLHF: A Shared Representation Approach to RLHF with Diverse Preferences AAAI 2026 SHARE: Synthesizing Heterogeneous Autism-support Records into Evidence-based Recommendations AAAI 2026 Share Your Attention: Transformer Weight Sharing via Matrix-based Dictionary Learning AAAI 2026 Sharp analysis of linear ensemble sampling COLT 2026