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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

OptScale: Probabilistic Optimality for Inference-time Scaling AAAI 2026 Ordered Local Momentum for Asynchronous Distributed Learning Under Arbitrary Delays AAAI 2026 Ordinal Secretaries with Advice AAAI 2026 Orion: Steering Personalized Web Agents via Global-Micro Profiling and Adaptive Intent Tracking AAAI 2026 OR-R1: Automating Modeling and Solving of Operations Research Optimization Problem via Test-Time Reinforcement Learning AAAI 2026 ORSO QGen: Odds-Ratio Steerable Optimization for Controlling Question Generation EACL 2026 ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation AAAI 2026 ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning AAAI 2026 OT-ALD: Aligning Latent Distributions with Optimal Transport for Accelerated Image-to-Image Translation AAAI 2026 Out of Distribution, Out of Luck: Process Rewards Misguide Reasoning Models EACL 2026 Overcoming Dependent Censoring in the Evaluation of Survival Models UAI 2026 Overlap Analysis of the Shortest Path Problem: Local Search, Landscapes, and Franz-Parisi Potential COLT 2026 P2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering AAAI 2026 PACT: Phase-Like Transition Constraints in Adapter-Based Continual Learning of Vision-Language Models CVPR 2026 PAD-Hand: Physics-Aware Diffusion for Hand Motion Recovery CVPR 2026 PAGPL: Privacy-Aware Graph Prompt Learning Scheme via Adaptive Perturbation-Estimated Topology Recovery AAAI 2026 Pano-GS: Perception-Aware Gaussian Optimization with Gradient Consistency and Multi-Criteria Densification for High-Quality Rendering AAAI 2026 ParaDySe: A Parallel Strategy Switching Framework for Dynamic Sequences in Transformer-based Large Language Models AAAI 2026 Parallelizable Riemannian Alternating Direction Method of Multipliers for Non-convex Pose Graph Optimization AAAI 2026 Parallel Training Time-to-First-Spike Spiking Neural Networks AAAI 2026 Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules EACL 2026 Parameter-free Optimal Rates for Nonlinear Semi-Norm Contractions with Applications to Q-Learning AAAI 2026 Parametric Pareto Set Learning for Expensive Multi-Objective Optimization AAAI 2026 Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization AAAI 2026 ParetoHqD: Fast Offline Multiobjective Alignment of Large Language Models Using Pareto High-Quality Data AAAI 2026