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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)

WaveDiST: A Wavelet Diffusion Transformer for Spatio-Temporal Estimation on Unobserved Locations AAAI 2026 WaveEx: Accelerating Flow Matching-based Speech Generation via Wavelet-guided Extrapolation AAAI 2026 Wedge Sampling: Efficient Tensor Completion with Nearly-Linear Sample Complexity COLT 2026 WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network AAAI 2026 Well Begun, Half Done: Reinforcement Learning with Prefix Optimization for LLM Reasoning AAAI 2026 What Is the Optimal Ranking Score Between Precision and Recall? We Can Always Find It and It Is Rarely F1 CVPR 2026 When and How Often is Weighted Majority Vote Optimal Under Log Loss? UAI 2026 When Both Layers Learn: Training Dynamics of Representing Linear Models via ReLU Networks COLT 2026 When Can We Learn from Noisy Logical Data? Parameterized Complexity of Approximate Concept Fitting in Description Logics UAI 2026 When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation EACL 2026 When Does Model Multiplicity Affect Prediction Intervals? A Sharp Phase Transition UAI 2026 When Human Preferences Flip: An Instance-Dependent Robust Loss for RLHF AAAI 2026 When Instinct Guides and Insight Grounds: Staged RL Training for LLM Agents AAAI 2026 When Prompt Optimization Becomes Jailbreaking: Adaptive Red-Teaming of Large Language Models EACL 2026 When Safety Collides: Resolving Multi-Category Harmful Conflicts in Text-to-Image Diffusion via Adaptive Safety Guidance CVPR 2026 Where to Start Alignment? Diffusion Large Language Model May Demand a Distinct Position AAAI 2026 Which Directions Matter? Sparse Design for Affine Robust Optimization UAI 2026 WIET: Harmonizing Group-aware Model Weighting and Worker Allocation for Ensemble Temporal Prediction MaaS AAAI 2026 Workflow Search Reinforcement Learning over Structured Decompositions L4DC 2026 Worst-case Error Bounds for Online Learning of Smooth Functions COLT 2026 Your AI-Generated Image Detector Can Secretly Achieve SOTA Accuracy, If Calibrated AAAI 2026 φ-Update: A Class of Policy Update Methods with Policy Convergence Guarantee ICLR 2025 σ-zero: Gradient-based Optimization of ℓ_0-norm Adversarial Examples ICLR 2025 (1+1) Genetic Programming with Functionally Complete Instruction Sets Can Evolve Boolean Conjunctions and Disjunctions with Arbitrarily Small Error AAAI 2025 3DGS-LM: Faster Gaussian-Splatting Optimization with Levenberg-Marquardt ICCV 2025