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)

Variational Multinomial Logit Gaussian Process JMLR 2012 Volume Regularization for Binary Classification NeurIPS 2012 (weak) Calibration is Computationally Hard COLT 2012 Weighted Likelihood Policy Search with Model Selection NeurIPS 2012 Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding NeurIPS 2012 Wilks’ phenomenon and penalized likelihood-ratio test for nonparametric curve registration AISTATS 2012 A Bayesian Approximation Method for Online Ranking JMLR 2011 A blind sparse deconvolution method for neural spike identification NeurIPS 2011 A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm NeurIPS 2011 Accelerated Adaptive Markov Chain for Partition Function Computation NeurIPS 2011 A Close Look to Margin Complexity and Related Parameters COLT 2011 A Collaborative Mechanism for Crowdsourcing Prediction Problems NeurIPS 2011 A concave regularization technique for sparse mixture models NeurIPS 2011 A conditional game for comparing approximations AISTATS 2011 A Convergence Analysis of Log-Linear Training NeurIPS 2011 Action-Gap Phenomenon in Reinforcement Learning NeurIPS 2011 Active learning of neural response functions with Gaussian processes NeurIPS 2011 Active Learning Ranking from Pairwise Preferences with Almost Optimal Query Complexity NeurIPS 2011 Active Learning with a Drifting Distribution NeurIPS 2011 Active Ranking using Pairwise Comparisons NeurIPS 2011 A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis JMLR 2011 Adaptive Bandits: Towards the best history-dependent strategy AISTATS 2011 Adaptive Density Level Set Clustering COLT 2011 Adaptive Hedge NeurIPS 2011 Adaptive Subgradient Methods for Online Learning and Stochastic Optimization JMLR 2011