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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)

Analysis of Empirical MAP and Empirical Partially Bayes: Can They be Alternatives to Variational Bayes? AISTATS 2014 Analysis of Learning from Positive and Unlabeled Data NeurIPS 2014 Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP NeurIPS 2014 Analytic Long-Term Forecasting with Periodic Gaussian Processes AISTATS 2014 An Analysis of Active Learning with Uniform Feature Noise AISTATS 2014 An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy ICML 2014 An Automata-Theoretic Approach to the Vehicle Routing Problem RSS 2014 An Efficient Approach for Assessing Hyperparameter Importance ICML 2014 A New Approach to Probabilistic Programming Inference AISTATS 2014 A New Perspective on Learning Linear Separators with Large L_qL_p Margins AISTATS 2014 An inclusion optimal algorithm for chain graph structure learning AISTATS 2014 An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning COLT 2014 An Information Geometry of Statistical Manifold Learning ICML 2014 An Integer Polynomial Programming Based Framework for Lifted MAP Inference NeurIPS 2014 A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response AISTATS 2014 A Novel Chamfer Template Matching Method Using Variational Mean Field CVPR 2014 A PAC-Bayesian bound for Lifelong Learning ICML 2014 A Physics-Based Model Prior for Object-Oriented MDPs ICML 2014 Approximate Policy Iteration Schemes: A Comparison ICML 2014 Approximate Slice Sampling for Bayesian Posterior Inference AISTATS 2014 Approximating Hierarchical MV-sets for Hierarchical Clustering NeurIPS 2014 Approximation Analysis of Stochastic Gradient Langevin Dynamics by using Fokker-Planck Equation and Ito Process ICML 2014 A Principled Approach for Coarse-to-Fine MAP Inference CVPR 2014 A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process NeurIPS 2014 A Probabilistic Framework for Multitarget Tracking with Mutual Occlusions CVPR 2014