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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)

Clinician-in-the-Loop Smart Home System to Detect Urinary Tract Infection Flare-Ups via Uncertainty-Aware Decision Support AAAI 2026 Clipping the Price of Adaptivity at the Tail COLT 2026 Cliqueformer: Model-Based Optimization with Structured Transformers AAAI 2026 Cloning is as Hard as Learning for Stabilizer States COLT 2026 CLUE: Bringing Machine Unlearning to Mobile Devices WACV 2026 Cluster-aware Anchor Learning for Multi-View Clustering CVPR 2026 Coarsening Bias from Variable Discretization in Causal Functionals UAI 2026 CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization AAAI 2026 CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles (Abstract Reprint) AAAI 2026 CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models AAAI 2026 COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees AAAI 2026 Co-Layout: LLM-driven Co-optimization for Interior Layout AAAI 2026 CommitMoE: Efficient Fallback-Free MoE Inference with Offloading Under GPU Memory Constraints AAAI 2026 Communication-efficient Distributed Statistical Inference for Massive Data with Heterogeneous Auxiliary Information JMLR 2026 Communication-Efficient Distributed Training for Collaborative Flat Optima Recovery in Deep Learning UAI 2026 Compact Geometric Representations of Hierarchies COLT 2026 Complexity of Vector-valued Prediction: From Linear Models to Stochastic Convex Optimization ALT 2026 Computer Vision Modeling of the Development of Geometric and Numerical Concepts in Humans AAAI 2026 Computing Lewis weights to high precision using local relative smoothness COLT 2026 Conditional Diffusion Model for Multi-Agent Dynamic Task Decomposition AAAI 2026 Confidence-Calibrated Small-Large Language Model Collaboration for Cost-Efficient Reasoning EACL 2026 Confidence-Driven Multi-Scale Model Selection for Cost-Efficient Inference EACL 2026 Confidence-Guided Stepwise Model Routing for Cost-Efficient Reasoning AAAI 2026 Conformal Constrained Policy Optimization for Cost-Effective LLM Agents AAAI 2026 Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment EACL 2026