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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)

Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization NeurIPS 2012 Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso JMLR 2012 Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior AISTATS 2012 Expectation Propagation in Gaussian Process Dynamical Systems NeurIPS 2012 Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress NeurIPS 2012 Exponential Concentration for Mutual Information Estimation with Application to Forests NeurIPS 2012 Extrinsic Calibration from Per-Sensor Egomotion RSS 2012 Factoring nonnegative matrices with linear programs NeurIPS 2012 Factorized Asymptotic Bayesian Inference for Mixture Modeling AISTATS 2012 Fast Approximation of Matrix Coherence and Statistical Leverage JMLR 2012 Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression AISTATS 2012 FastEx: Hash Clustering with Exponential Families NeurIPS 2012 Fast interior-point inference in high-dimensional sparse, penalized state-space models AISTATS 2012 Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness AISTATS 2012 Fast Resampling Weighted v-Statistics NeurIPS 2012 Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models AISTATS 2012 Fast Variational Inference in the Conjugate Exponential Family NeurIPS 2012 Feature Clustering for Accelerating Parallel Coordinate Descent NeurIPS 2012 Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling NeurIPS 2012 Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery NeurIPS 2012 Finding Recurrent Patterns from Continuous Sign Language Sentences for Automated Extraction of Signs JMLR 2012 Finite-Sample Analysis of Least-Squares Policy Iteration JMLR 2012 Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods NeurIPS 2012 Flexible Martingale Priors for Deep Hierarchies AISTATS 2012 Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach NeurIPS 2012