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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)

Tight Bounds for the Expected Risk of Linear Classifiers and PAC-Bayes Finite-Sample Guarantees AISTATS 2014 Tight Continuous Relaxation of the Balanced k-Cut Problem NeurIPS 2014 Tight convex relaxations for sparse matrix factorization NeurIPS 2014 Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time NeurIPS 2014 Tilted Variational Bayes AISTATS 2014 Time--Data Tradeoffs by Aggressive Smoothing NeurIPS 2014 Time-Regularized Interrupting Options (TRIO) ICML 2014 To go deep or wide in learning? AISTATS 2014 Top Rank Optimization in Linear Time NeurIPS 2014 Total-Variation Minimization on Unstructured Volumetric Mesh: Biophysical Applications on Reconstruction of 3D Ischemic Myocardium CVPR 2014 Towards an optimal stochastic alternating direction method of multipliers ICML 2014 Towards Maximum Likelihood: Learning Undirected Graphical Models using Persistent Sequential Monte Carlo ACML 2014 Towards Minimax Online Learning with Unknown Time Horizon ICML 2014 Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach ICML 2014 Towards Ultrahigh Dimensional Feature Selection for Big Data JMLR 2014 Tracking Adversarial Targets ICML 2014 Training Highly Multiclass Classifiers JMLR 2014 Transitive Distance Clustering with K-Means Duality CVPR 2014 Tree-structured Gaussian Process Approximations NeurIPS 2014 Two-Class Weather Classification CVPR 2014 Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets NeurIPS 2014 Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations COLT 2014 Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models ICML 2014 Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis ICML 2014 Unimodal Bandits: Regret Lower Bounds and Optimal Algorithms ICML 2014