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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)

Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation ACML 2019 Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases NeurIPS 2019 Minimizers of the Empirical Risk and Risk Monotonicity NeurIPS 2019 Minimum Delay Object Detection From Video ICCV 2019 Minimum Stein Discrepancy Estimators NeurIPS 2019 Minimum Volume Topic Modeling AISTATS 2019 Misleading Failures of Partial-input Baselines ACL 2019 Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption NeurIPS 2019 Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach CVPR 2019 Mitigating Uncertainty in Document Classification NAACL 2019 Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation CVPR 2019 Mixing of Hamiltonian Monte Carlo on strongly log-concave distributions 2: Numerical integrators AISTATS 2019 Mixture Models for Diverse Machine Translation: Tricks of the Trade ICML 2019 Model-Based Reinforcement Learning Exploiting State-Action Equivalence ACML 2019 Model-based RL in Contextual Decision Processes: PAC bounds and Exponential Improvements over Model-free Approaches COLT 2019 Model Consistency for Learning with Mirror-Stratifiable Regularizers AISTATS 2019 Model-Free IRL Using Maximum Likelihood Estimation AAAI 2019 Model-free Nonconvex Matrix Completion: Local Minima Analysis and Applications in Memory-efficient Kernel PCA JMLR 2019 Model Function Based Conditional Gradient Method with Armijo-like Line Search ICML 2019 Modeling and Control of Soft Robots Using the Koopman Operator and Model Predictive Control RSS 2019 Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes NeurIPS 2019 Modeling language learning using specialized Elo rating ACL 2019 Modeling Markedness with a Split-and-Merger Model of Sound Change ACL 2019 Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables ACL 2019 Modeling simple structures and geometry for better stochastic optimization algorithms AISTATS 2019