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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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'25

Papers (including subtopics)

Equivariant Manifold Neural ODEs and Differential Invariants JMLR 2025 Equivariant Neural Tangent Kernels ICML 2025 EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers ICML 2025 ERFSL: An Efficient Reward Function Searcher via Large Language Models for Custom-Environment Multi-Objective Reinforcement Learning (Student Abstract) AAAI 2025 Ergodic Generative Flows ICML 2025 ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models EMNLP 2025 ERL-MPP: Evolutionary Reinforcement Learning with Multi-head Puzzle Perception for Solving Large-scale Jigsaw Puzzles of Eroded Gaps AAAI 2025 ERM++: An Improved Baseline for Domain Generalization WACV 2025 ERNet: Efficient Non-Rigid Registration Network for Point Sequences ICCV 2025 Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent AAAI 2025 Error Bounds for Gaussian Process Regression Under Bounded Support Noise with Applications to Safety Certification AAAI 2025 Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities JMLR 2025 Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs UAI 2025 Error Comparison Optimization for Large Language Models on Aspect-Based Sentiment Analysis ACL 2025 Error estimation and adaptive tuning for unregularized robust M-estimator JMLR 2025 Error-quantified Conformal Inference for Time Series ICLR 2025 Error Typing for Smarter Rewards: Improving Process Reward Models with Error-Aware Hierarchical Supervision EMNLP 2025 ESBN: Estimation Shift of Batch Normalization for Source-free Universal Domain Adaptation IJCAI 2025 Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations IJCAI 2025 ESGenius: Benchmarking LLMs on Environmental, Social, and Governance (ESG) and Sustainability Knowledge EMNLP 2025 ESPFormer: Doubly-Stochastic Attention with Expected Sliced Transport Plans ICML 2025 Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models ACL 2025 Estimating the Probabilities of Rare Outputs in Language Models ICLR 2025 Estimation of Large Zipfian Distributions with Sort and Snap AISTATS 2025 Estimation of Local Geometric Structure on Manifolds from Noisy Data JMLR 2025