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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)

MARS: Benchmarking the Metaphysical Reasoning Abilities of Language Models with a Multi-task Evaluation Dataset ACL 2025 MARS: Unleashing the Power of Variance Reduction for Training Large Models ICML 2025 Mask in the Mirror: Implicit Sparsification ICLR 2025 Masks Can be Learned as an Alternative to Experts ACL 2025 Massively Parallel Continuous Local Search for Hybrid SAT Solving on GPUs AAAI 2025 Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality EMNLP 2025 Mastering Multiple-Expert Routing: Realizable H-Consistency and Strong Guarantees for Learning to Defer ICML 2025 Mastering Task Arithmetic: τJp as a Key Indicator for Weight Disentanglement ICLR 2025 MAST: model-agnostic sparsified training ICLR 2025 Matérn Kernels for Tunable Implicit Surface Reconstruction ICLR 2025 MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code ICLR 2025 MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs ICLR 2025 MATO: A Model-Agnostic Training Optimization for Aspect Sentiment Triplet Extraction NAACL 2025 Matrix Completion with Incomplete Side Information via Orthogonal Complement Projection ICML 2025 Matrix-Free Shared Intrinsics Bundle Adjustment CVPR 2025 Matrix Product Sketching via Coordinated Sampling ICLR 2025 MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks ICLR 2025 Maximin Share Guarantees for Few Agents with Subadditive Valuations IJCAI 2025 Maximizing Intermediate Checkpoint Value in LLM Pretraining with Bayesian Optimization ICML 2025 Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory ICLR 2025 Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL JMLR 2025 Maximum Entropy Softmax Policy Gradient via Entropy Advantage Estimation IJCAI 2025 Maximum Score Routing For Mixture-of-Experts ACL 2025 Maximum Total Correlation Reinforcement Learning ICML 2025 Max-Rank: Efficient Multiple Testing for Conformal Prediction AISTATS 2025