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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)

On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014 One Millisecond Face Alignment with an Ensemble of Regression Trees CVPR 2014 One Practical Algorithm for Both Stochastic and Adversarial Bandits ICML 2014 On Integrated Clustering and Outlier Detection NeurIPS 2014 On Iterative Hard Thresholding Methods for High-dimensional M-Estimation NeurIPS 2014 Online and Stochastic Gradient Methods for Non-decomposable Loss Functions NeurIPS 2014 Online Bayesian Passive-Aggressive Learning ICML 2014 Online Clustering of Bandits ICML 2014 Online combinatorial optimization with stochastic decision sets and adversarial losses NeurIPS 2014 Online Decision-Making in General Combinatorial Spaces NeurIPS 2014 Online Learning in Markov Decision Processes with Changing Cost Sequences ICML 2014 Online Learning with Composite Loss Functions COLT 2014 Online Linear Optimization via Smoothing COLT 2014 Online matrix prediction for sparse loss matrices ACML 2014 Online Non-Parametric Regression COLT 2014 Online Object Tracking, Learning and Parsing with And-Or Graphs CVPR 2014 Online Optimization for Max-Norm Regularization NeurIPS 2014 Online Passive-Aggressive Algorithms for Non-Negative Matrix Factorization and Completion AISTATS 2014 Online Stochastic Optimization under Correlated Bandit Feedback ICML 2014 On Measure Concentration of Random Maximum A-Posteriori Perturbations ICML 2014 On Modelling Non-linear Topical Dependencies ICML 2014 On Model Parallelization and Scheduling Strategies for Distributed Machine Learning NeurIPS 2014 On Multiplicative Multitask Feature Learning NeurIPS 2014 On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection ICML 2014 On Prior Distributions and Approximate Inference for Structured Variables NeurIPS 2014