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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)

Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning AAAI 2026 Discrete Structure Augmentation for Graph Convolutional Networks AAAI 2026 Discriminative Feature Feedback with General Teacher Classes ALT 2026 Distill and Align Decomposition for Enhanced Claim Verification EACL 2026 Distillation Dynamics: Towards Understanding Feature-Based Distillation in Vision Transformers AAAI 2026 Distributionally Robust Online Markov Game with Linear Function Approximation AAAI 2026 Distribution-Dependent Rates for Multi-Distribution Learning ALT 2026 Distribution-Free Sequential Prediction with Abstentions COLT 2026 Distribution Shift Is Key to Learning Invariant Prediction AAAI 2026 Diversifying Counterattacks: Orthogonal Exploration for Robust CLlP Inference AAAI 2026 Diversity patterns run deep: Impact of diversity intake on multiword expression identification EACL 2026 Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning EACL 2026 DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models CVPR 2026 DMOSpeech 2: Reinforcement Learning for Duration Prediction in Metric-Optimized Speech Synthesis AAAI 2026 DNOI-4DRO: Deep 4D Radar Odometry with Differentiable Neural-Optimization Iterations AAAI 2026 DNR Bench: Benchmarking Over-Reasoning in Reasoning LLMs AAAI 2026 Do Generative Video Models Understand Physical Principles? WACV 2026 Domain-Specific Quality Estimation for Machine Translation in Low-Resource Scenarios EACL 2026 Do NOT Classify and Count: Hybrid Attribute Control Success Evaluation EACL 2026 Don’t Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs AAAI 2026 DoTA: Latent Distribution Conditioned Data Attribution for Diffusion Models WACV 2026 Doubly Debiased Robust Subsampling for Transfer Learning JMLR 2026 Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models AAAI 2026 Doubly Robust Causal Estimation Under Multi-View Network Interference (Student Abstract) AAAI 2026 Do We Need to Penalize Variance of Losses for Learning with Label Noise? JMLR 2026