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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)

Estimation, Optimization, and Parallelism when Data is Sparse NeurIPS 2013 Evidence Estimation for Bayesian Partially Observed MRFs AISTATS 2013 EVSAC: Accelerating Hypotheses Generation by Modeling Matching Scores with Extreme Value Theory ICCV 2013 Exact and Stable Recovery of Pairwise Interaction Tensors NeurIPS 2013 Exact Learning of Bounded Tree-width Bayesian Networks AISTATS 2013 Exact Rule Learning via Boolean Compressed Sensing ICML 2013 Excess risk bounds for multitask learning with trace norm regularization COLT 2013 Expensive Function Optimization with Stochastic Binary Outcomes ICML 2013 Exploiting Ontology Structures and Unlabeled Data for Learning ICML 2013 Exploiting Urban Scenes for Vision-aided Inertial Navigation RSS 2013 Exploring the Mind: Integrating Questionnaires and fMRI ICML 2013 Factorized Asymptotic Bayesian Inference for Latent Feature Models NeurIPS 2013 Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA NeurIPS 2013 Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis NeurIPS 2013 Fast Convolutional Sparse Coding CVPR 2013 Fast Determinantal Point Process Sampling with Application to Clustering NeurIPS 2013 Fast dropout training ICML 2013 Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models ICML 2013 Fast Energy Minimization Using Learned State Filters CVPR 2013 Faster Ridge Regression via the Subsampled Randomized Hadamard Transform NeurIPS 2013 Fastfood - Computing Hilbert Space Expansions in loglinear time ICML 2013 FasT-Match: Fast Affine Template Matching CVPR 2013 Fast Max-Margin Matrix Factorization with Data Augmentation ICML 2013 Fast MCMC Sampling for Markov Jump Processes and Extensions JMLR 2013 Fast Near-GRID Gaussian Process Regression AISTATS 2013