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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)

Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation ICML 2025 Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-UCB Bandit Algorithms ICLR 2025 Benchmarking and Building Zero-Shot Hindi Retrieval Model with Hindi-BEIR and NLLB-E5 NAACL 2025 Benchmarking Critical Questions Generation: A Challenging Reasoning Task for Large Language Models EMNLP 2025 Benchmarking Debiasing Methods for LLM-based Parameter Estimates EMNLP 2025 Benchmarking Deep Search over Heterogeneous Enterprise Data EMNLP 2025 Benchmarking for Domain-Specific LLMs: A Case Study on Academia and Beyond EMNLP 2025 Benchmarking Hindi LLMs: A New Suite of Datasets and a Comparative Analysis AACL 2025 Benchmarking Language Model Creativity: A Case Study on Code Generation NAACL 2025 Benchmarking Large Language Models for Cryptanalysis and Side-Channel Vulnerabilities EMNLP 2025 Benchmarking Large Language Models Under Data Contamination: A Survey from Static to Dynamic Evaluation EMNLP 2025 Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program ICCV 2025 Benchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery CVPR 2025 Benchmarking Quantum Reinforcement Learning ICML 2025 Benchmarking the Benchmarks: Reproducing Climate-Related NLP Tasks ACL 2025 Benchmarking Uncertainty Metrics for LLM Target-Aware Search EMNLP 2025 Benchmark Profiling: Mechanistic Diagnosis of LLM Benchmarks EMNLP 2025 Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression ICML 2025 Benign Overfitting in Out-of-Distribution Generalization of Linear Models ICLR 2025 Benign Overfitting in Token Selection of Attention Mechanism ICML 2025 BenTo: Benchmark Reduction with In-Context Transferability ICLR 2025 Best-Arm Identification in Unimodal Bandits AISTATS 2025 Best Arm Identification with Possibly Biased Offline Data UAI 2025 Best of Both Worlds: Regret Minimization versus Minimax Play ICML 2025 Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination ICML 2025