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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)

Learning Optimal Seeds for Diffusion-based Salient Object Detection CVPR 2014 Learning Polynomials with Neural Networks ICML 2014 Learning Shuffle Ideals Under Restricted Distributions NeurIPS 2014 Learning Sparsely Used Overcomplete Dictionaries COLT 2014 Learning Structured Models with the AUC Loss and Its Generalizations AISTATS 2014 Learning Sum-Product Networks with Direct and Indirect Variable Interactions ICML 2014 Learning the Irreducible Representations of Commutative Lie Groups ICML 2014 Learning the Learning Rate for Prediction with Expert Advice NeurIPS 2014 Learning Theory and Algorithms for revenue optimization in second price auctions with reserve ICML 2014 Learning the Parameters of Determinantal Point Process Kernels ICML 2014 Learning Time-Varying Coverage Functions NeurIPS 2014 Learning to Discover Efficient Mathematical Identities NeurIPS 2014 Learning to locate from demonstrated searches RSS 2014 Learning to Optimize via Information-Directed Sampling NeurIPS 2014 Learning to Search in Branch and Bound Algorithms NeurIPS 2014 Learning with Fredholm Kernels NeurIPS 2014 Learning with Maximum A-Posteriori Perturbation Models AISTATS 2014 Learning without concentration COLT 2014 Least Squares Revisited: Scalable Approaches for Multi-class Prediction ICML 2014 LIBOL: A Library for Online Learning Algorithms JMLR 2014 lil’ UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits COLT 2014 Linear Programming for Large-Scale Markov Decision Problems ICML 2014 Linear Ranking Analysis CVPR 2014 Linear Time Solver for Primal SVM ICML 2014 Lipschitz Bandits: Regret Lower Bound and Optimal Algorithms COLT 2014