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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)

Just Noticeable Differences in Visual Attributes ICCV 2015 Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) ICML 2015 K-hyperplane Hinge-Minimax Classifier ICML 2015 Kullback-Leibler Proximal Variational Inference NeurIPS 2015 L0TV: A New Method for Image Restoration in the Presence of Impulse Noise CVPR 2015 Label optimal regret bounds for online local learning COLT 2015 Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings NeurIPS 2015 Large-scale Distributed Dependent Nonparametric Trees ICML 2015 Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing ICML 2015 Large-scale probabilistic predictors with and without guarantees of validity NeurIPS 2015 Lasso Screening Rules via Dual Polytope Projection JMLR 2015 LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements NeurIPS 2015 Latent Bayesian melding for integrating individual and population models NeurIPS 2015 Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data ICML 2015 Learnability of Influence in Networks NeurIPS 2015 Learnability of Solutions to Conjunctive Queries: The Full Dichotomy COLT 2015 Learning and inference in the presence of corrupted inputs COLT 2015 Learning Bayesian Networks with Thousands of Variables NeurIPS 2015 Learning Causal Graphs with Small Interventions NeurIPS 2015 Learning Complexity-Aware Cascades for Deep Pedestrian Detection ICCV 2015 Learning Continuous Control Policies by Stochastic Value Gradients NeurIPS 2015 Learning Deep Sigmoid Belief Networks with Data Augmentation AISTATS 2015 Learning Efficient Anomaly Detectors from K-NN Graphs AISTATS 2015 Learning Equilibria of Games via Payoff Queries JMLR 2015 Learning Fast-Mixing Models for Structured Prediction ICML 2015