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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)

Streamwise Feature Selection JMLR 2006 Structured Prediction, Dual Extragradient and Bregman Projections JMLR 2006 Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition JMLR 2006 Support Vector Machines on a Budget NeurIPS 2006 Temporal Coding using the Response Properties of Spiking Neurons NeurIPS 2006 Temporal dynamics of information content carried by neurons in the primary visual cortex NeurIPS 2006 The Identity Management Kalman Filter (IMKF) RSS 2006 The Interplay of Optimization and Machine Learning Research JMLR 2006 The Iterated Sigma Point Kalman Filter with Applications to Long Range Stereo RSS 2006 The Neurodynamics of Belief Propagation on Binary Markov Random Fields NeurIPS 2006 Theory and Dynamics of Perceptual Bistability NeurIPS 2006 The Robustness-Performance Tradeoff in Markov Decision Processes NeurIPS 2006 Tighter PAC-Bayes Bounds NeurIPS 2006 Toward Attribute Efficient Learning of Decision Lists and Parities JMLR 2006 Training Conditional Random Fields for Maximum Labelwise Accuracy NeurIPS 2006 TrueSkill™: A Bayesian Skill Rating System NeurIPS 2006 Unified Inference for Variational Bayesian Linear Gaussian State-Space Models NeurIPS 2006 Unified Inverse Depth Parametrization for Monocular SLAM RSS 2006 Universal Kernels JMLR 2006 Using Combinatorial Optimization within Max-Product Belief Propagation NeurIPS 2006 Walk-Sums and Belief Propagation in Gaussian Graphical Models JMLR 2006 A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior JMLR 2005 A Bayes Optimal Approach for Partitioning the Values of Categorical Attributes JMLR 2005 Active Coevolutionary Learning of Deterministic Finite Automata JMLR 2005 Adaptive Online Prediction by Following the Perturbed Leader JMLR 2005