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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)

Breaking Measurement Barriers: From Compressed Sensing to Deep Reconstruction AAAI 2026 Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts AAAI 2026 Breaking Task Boundaries: A Unified Model for 3D Medical Image Fusion and Segmentation Guided by Manifold Perspective AAAI 2026 Breaking the Resource Monopoly: LLM Post-Training and Serving with Modest Data and Compute AAAI 2026 Bregman contrastive estimation as a general framework for learning unnormalized models: Efficiency, robustness and optimal noise UAI 2026 BREPS: Bounding-Box Robustness Evaluation of Promptable Segmentation AAAI 2026 Bridging Distance and Spectral Positional Encodings via Anchor-Based Diffusion Geometry Approximation ACL 2026 Bridging Domain Invariance and Diversity: A Fine-Grained Risk Bound for Domain Generalization JMLR 2026 Bridging Machine Learning and Physics for Scalable Long-Term Building Temperature Prediction (Student Abstract) AAAI 2026 Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation AAAI 2026 BSAN: Behavioral State Attention Network for Modeling Mosquito Host-Seeking Behavior AAAI 2026 Budgeted Online Active Learning with Expert Advice and Episodic Priors AAAI 2026 Building Domain-Specific Small Language Models via Guided Data Generation AAAI 2026 Bypassing the Transport Plan: Dynamic Reweighting for Out-of-Distribution Detection with Optimal Transport CVPR 2026 CaFlow: Enhancing Long-Term Action Quality Assessment with Causal Counterfactual Flow WACV 2026 Calibeating Made Simple COLT 2026 Calibrating and Rotating: A Unified Framework for Weight Conditioning in PEFT AAAI 2026 Calibrating Reliance: Addressing Misuse and Disuse in AI-Based Second-Opinion Systems for Medical Diagnosis AAAI 2026 Call, Reward, Repeat: Advancing Dialog State Tracking with GRPO and Function Calling EACL 2026 CAMERA: Multi-Matrix Joint Compression for MoE Models via Micro-Expert Redundancy Analysis AAAI 2026 Can Calibration of Positional Encodings Enhance Long Context Utilization? EACL 2026 Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models AAAI 2026 Canonical Domain Reduction for Partial Counterfactual Identification UAI 2026 Can Optimal Transport Improve Federated Inverse Reinforcement Learning? L4DC 2026 Can Reasoning Help Large Language Models Capture Human Annotator Disagreement? EACL 2026