conftrace_
← Machine Learning
Machine Learning ›

Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

1
52
337
806
3400
3289
'00
'05
'10
'15
'20
'25

Papers (including subtopics)

Autonomous Exploration For Navigating In MDPs COLT 2012
Towards Minimax Policies for Online Linear Optimization with Bandit Feedback COLT 2012
The Best of Both Worlds: Stochastic and Adversarial Bandits COLT 2012
Open Problem: Better Bounds for Online Logistic Regression COLT 2012
Open Problem: Does AdaBoost Always Cycle? COLT 2012
Open Problem: Is Averaging Needed for Strongly Convex Stochastic Gradient Descent? COLT 2012
Optimal Distributed Online Prediction Using Mini-Batches JMLR 2012
Multi Kernel Learning with Online-Batch Optimization JMLR 2012
Random Search for Hyper-Parameter Optimization JMLR 2012
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics JMLR 2012
Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming JMLR 2012
Online Learning in the Embedded Manifold of Low-rank Matrices JMLR 2012
Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks JMLR 2012
A Primal-Dual Convergence Analysis of Boosting JMLR 2012
Structured Sparsity and Generalization JMLR 2012
A Case Study on Meta-Generalising: A Gaussian Processes Approach JMLR 2012
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso JMLR 2012
Algebraic Geometric Comparison of Probability Distributions JMLR 2012
Stability of Density-Based Clustering JMLR 2012
Sampling Methods for the Nyström Method JMLR 2012
Positive Semidefinite Metric Learning Using Boosting-like Algorithms JMLR 2012
Consistent Model Selection Criteria on High Dimensions JMLR 2012
Analysis of a Random Forests Model JMLR 2012
A Multi-Stage Framework for Dantzig Selector and LASSO JMLR 2012
A Geometric Approach to Sample Compression JMLR 2012