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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)

Shallow vs. Deep Sum-Product Networks NeurIPS 2011 Shaping Level Sets with Submodular Functions NeurIPS 2011 Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment NeurIPS 2011 Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC NeurIPS 2011 Smoothness, Disagreement Coefficient, and the Label Complexity of Agnostic Active Learning JMLR 2011 SpaRCS: Recovering low-rank and sparse matrices from compressive measurements NeurIPS 2011 Sparse Bayesian Multi-Task Learning NeurIPS 2011 Sparse Estimation with Structured Dictionaries NeurIPS 2011 Sparse Features for PCA-Like Linear Regression NeurIPS 2011 Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation NeurIPS 2011 Sparse Linear Identifiable Multivariate Modeling JMLR 2011 Sparse recovery by thresholded non-negative least squares NeurIPS 2011 Sparse Recovery with Brownian Sensing NeurIPS 2011 Sparsity Regret Bounds for Individual Sequences in Online Linear Regression COLT 2011 Spatial distance dependent Chinese restaurant processes for image segmentation NeurIPS 2011 Spectral Dimensionality Reduction via Maximum Entropy AISTATS 2011 Spectral Methods for Learning Multivariate Latent Tree Structure NeurIPS 2011 Speedy Q-Learning NeurIPS 2011 Statistical Optimization of Non-Negative Matrix Factorization AISTATS 2011 Statistical Performance of Convex Tensor Decomposition NeurIPS 2011 Statistical Tests for Optimization Efficiency NeurIPS 2011 Stochastic convex optimization with bandit feedback NeurIPS 2011 Stochastic Methods for -regularized Loss Minimization JMLR 2011 Structural equations and divisive normalization for energy-dependent component analysis NeurIPS 2011 Structured sparse coding via lateral inhibition NeurIPS 2011