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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)

Estimation of Information Theoretic Measures for Continuous Random Variables NeurIPS 2008 Evaluating probabilities under high-dimensional latent variable models NeurIPS 2008 Exact Convex Confidence-Weighted Learning NeurIPS 2008 Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning NeurIPS 2008 Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks JMLR 2008 Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM NeurIPS 2008 Fast Computation of Posterior Mode in Multi-Level Hierarchical Models NeurIPS 2008 Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method NeurIPS 2008 Fast Prediction on a Tree NeurIPS 2008 Fast Probabilistic Labeling of City Maps RSS 2008 Fast Rates for Regularized Objectives NeurIPS 2008 Finding Optimal Bayesian Network Given a Super-Structure JMLR 2008 Finite-Time Bounds for Fitted Value Iteration JMLR 2008 Fitted Q-iteration by Advantage Weighted Regression NeurIPS 2008 From Online to Batch Learning with Cutoff-Averaging NeurIPS 2008 Gates NeurIPS 2008 Generalization from Observed to Unobserved Features by Clustering JMLR 2008 Generative and Discriminative Learning with Unknown Labeling Bias NeurIPS 2008 Goal-directed decision making in prefrontal cortex: a computational framework NeurIPS 2008 Gradient Tree Boosting for Training Conditional Random Fields JMLR 2008 Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models JMLR 2008 Hebbian Learning of Bayes Optimal Decisions NeurIPS 2008 Hierarchical Fisher Kernels for Longitudinal Data NeurIPS 2008 High-dimensional support union recovery in multivariate regression NeurIPS 2008 How memory biases affect information transmission: A rational analysis of serial reproduction NeurIPS 2008