Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Large-margin Weakly Supervised Dimensionality Reduction ICML 2014 large scale canonical correlation analysis with iterative least squares NeurIPS 2014 Large-scale L-BFGS using MapReduce NeurIPS 2014 Large-scale Multi-label Learning with Missing Labels ICML 2014 Large Scale Multi-view Stereopsis Evaluation CVPR 2014 Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images CVPR 2014 Latent Bandits. ICML 2014 Latent Dictionary Learning for Sparse Representation based Classification CVPR 2014 Latent Gaussian Models for Topic Modeling AISTATS 2014 Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data ICML 2014 Learnability of the Superset Label Learning Problem ICML 2014 Learning Bounded Tree-width Bayesian Networks using Integer Linear Programming AISTATS 2014 Learning by Stretching Deep Networks ICML 2014 Learning Chordal Markov Networks by Dynamic Programming NeurIPS 2014 Learning convolution filters for inverse covariance estimation of neural network connectivity NeurIPS 2014 Learning from Contagion (Without Timestamps) ICML 2014 Learning Graphs with a Few Hubs ICML 2014 Learning Mixed Multinomial Logit Model from Ordinal Data NeurIPS 2014 Learning Mixtures of Linear Classifiers ICML 2014 Learning Mixtures of Submodular Functions for Image Collection Summarization NeurIPS 2014 Learning Modular Structures from Network Data and Node Variables ICML 2014 Learning Multiple Tasks in Parallel with a Shared Annotator NeurIPS 2014 Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics NeurIPS 2014 Learning on graphs using Orthonormal Representation is Statistically Consistent NeurIPS 2014 Learning Optimal Commitment to Overcome Insecurity NeurIPS 2014