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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models AAAI 2026 MDMLP-EIA: Multi-domain Dynamic MLPs with Energy Invariant Attention for Time Series Forecasting AAAI 2026 Memorization and Expressivity in Transformers: A Learning-Theoretic Perspective AAAI 2026 Memory Based Advantage Shaping for LLM-Guided Reinforcement Learning (Student Abstract) AAAI 2026 Merlin: An Efficient Adaptive Cache Eviction Algorithm via Fine-Grained Characterization OSDI 2026 Meta-Black-Box Optimization with Bi-Space Landscape Analysis and Dual-Control Mechanism for SAEA AAAI 2026 Meta-Dependence in Conditional Independence Testing UAI 2026 MetaEval: Measuring the Discrimination of Benchmarks for Efficient LLM Evaluation AAAI 2026 Meta-Guided Sample Reweighting for Robust Cross-Modal Hashing Retrieval with Noisy Labels AAAI 2026 MetaLead: A Comprehensive Human-Curated Leaderboard Dataset for Transparent Reporting of Machine Learning Experiments EACL 2026 Methods for Optimization Problems with Markovian Stochasticity and Non-Euclidean Geometry AAAI 2026 METP: Multi-Granularity Integration of External Covariates for Temporal Point Processes AAAI 2026 Mind the Gap: Predicting, Explaining and Reducing Time-to-First-Comment (Reply Gap) in Online Mental-Health Communities AAAI 2026 Minimax density estimation in the adversarial framework under local differential privacy JMLR 2026 Minimax Limits of k-Fold Cross-Validation via Majority COLT 2026 Minimax Optimal Convergence of Gradient Descent in Logistic Regression via Large and Adaptive Stepsizes JMLR 2026 Minimax optimal differentially private synthetic data for smooth queries COLT 2026 Minimum-Cost Network Flow with Dual Predictions AAAI 2026 Minimum-Length Conformal Prediction Sets for Ordinal Classification AAAI 2026 Misclassification-Aware Robust Learning from Multiple Human Labelers (Student Abstract) AAAI 2026 Mitigating Length Bias in RLHF Through a Causal Lens AAAI 2026 Mitigating Negative Flips via Margin Preserving Training AAAI 2026 Mixing times of data-augmentation Gibbs samplers for high-dimensional probit regression JMLR 2026 Mixture-of-Trees: Learning to Select and Weigh Reasoning Paths for Efficient LLM Inference AAAI 2026 M-Loss: Quantifying Model Merging Compatibility with Limited Unlabeled Data AAAI 2026