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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)

Bayesian Pedigree Analysis using Measure Factorization NeurIPS 2012 Bayesian Probabilistic Co-Subspace Addition NeurIPS 2012 Bayesian Quadrature for Ratios AISTATS 2012 Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters AISTATS 2012 Bayesian Warped Gaussian Processes NeurIPS 2012 Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence NeurIPS 2012 Beta-Negative Binomial Process and Poisson Factor Analysis AISTATS 2012 Beyond Logarithmic Bounds in Online Learning AISTATS 2012 Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training JMLR 2012 Burn-in, bias, and the rationality of anchoring NeurIPS 2012 Calibrated Elastic Regularization in Matrix Completion NeurIPS 2012 Classification Calibration Dimension for General Multiclass Losses NeurIPS 2012 Clustering Aggregation as Maximum-Weight Independent Set NeurIPS 2012 Clustering by Nonnegative Matrix Factorization Using Graph Random Walk NeurIPS 2012 Coding efficiency and detectability of rate fluctuations with non-Poisson neuronal firing NeurIPS 2012 Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization NeurIPS 2012 Communication-Efficient Algorithms for Statistical Optimization NeurIPS 2012 Competitive Classification and Closeness Testing COLT 2012 Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models NeurIPS 2012 Complexity of Bethe Approximation AISTATS 2012 Compressive neural representation of sparse, high-dimensional probabilities NeurIPS 2012 Compressive Sensing MRI with Wavelet Tree Sparsity NeurIPS 2012 Computational Bounds on Statistical Query Learning COLT 2012 Conditional Validity of Inductive Conformal Predictors ACML 2012 Confidence-Weighted Linear Classification for Text Categorization JMLR 2012