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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)

Hierarchical Schedule Optimization for Fast and Robust Diffusion Model Sampling AAAI 2026 HierarNet: Independent Interactive Hierarchical Disease Outbreak Forecasting AAAI 2026 HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches AAAI 2026 HiFi-Mamba: Dual-Stream ?-Laplacian Enhanced Mamba for High-Fidelity MRI Reconstruction AAAI 2026 High-Accuracy Log-Concave Sampling with Stochastic Queries COLT 2026 High-Dimensional Analysis of Gradient Flow for Extensive-Width Quadratic Neural Networks JMLR 2026 High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers AAAI 2026 High-Dimensional Gaussian Mean Estimation under Realizable Contamination COLT 2026 High-dimensional Parameter Transfer With Fused-Regularizer JMLR 2026 High-Order Error Bounds for Markovian LSA with Richardson–Romberg Extrapolation AAAI 2026 High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks AAAI 2026 High Probability Convergence Guarantees of Stochastic Gradient Descent Ascent in Structured Nonconvex Min-Max Games COLT 2026 High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization WACV 2026 HiQ-Lip: A Hierarchical Quantum-Classical Method for Global Lipschitz Constant Estimation of ReLU Networks AAAI 2026 HogVul: Black-box Adversarial Code Generation Framework Against LM-based Vulnerability Detectors AAAI 2026 How Does the ReLU Activation Affect the Implicit Bias of Gradient Descent on High-dimensional Neural Network Regression? COLT 2026 How fast can you find a good hypothesis? COLT 2026 How Many Experts Are Enough? Towards Optimal Semantic Specialization for Mixture-of-Experts AAAI 2026 How Many Features Can a Language Model Store Under the Linear Representation Hypothesis? COLT 2026 How Many Ratings per Item are Necessary for Reliable Significance Testing? EACL 2026 How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation Under the One-Time-Pad-Based Framework AAAI 2026 How Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing Capabilities EACL 2026 How to Design and Train Your Implicit Neural Representation for Video Compression WACV 2026 How to Efficiently Explore Noisy Historical Data? Leveraging Corpus Pre-Targeting to Enhance Graph-based RAG EACL 2026 How to Set β_1, β_2 in Adam: An Online Learning Perspective ALT 2026