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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

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Papers (including subtopics)

Exact Rule Learning via Boolean Compressed Sensing ICML 2013
Robust Sparse Regression under Adversarial Corruption ICML 2013
Optimization with First-Order Surrogate Functions ICML 2013
Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation ICML 2013
Consistency versus Realizable H-Consistency for Multiclass Classification ICML 2013
Collective Stability in Structured Prediction: Generalization from One Example ICML 2013
Stable Coactive Learning via Perturbation ICML 2013
Kernelized Bayesian Matrix Factorization ICML 2013
Quantile Regression for Large-scale Applications ICML 2013
Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines ICML 2013
One-Pass AUC Optimization ICML 2013
Learning Convex QP Relaxations for Structured Prediction ICML 2013
Saving Evaluation Time for the Decision Function in Boosting: Representation and Reordering Base Learner ICML 2013
Stability and Hypothesis Transfer Learning ICML 2013
Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models ICML 2013
Dependent Normalized Random Measures ICML 2013
Fast Max-Margin Matrix Factorization with Data Augmentation ICML 2013
Breaking the Small Cluster Barrier of Graph Clustering ICML 2013
Approximate Inference in Collective Graphical Models ICML 2013
Scaling the Indian Buffet Process via Submodular Maximization ICML 2013
Mini-Batch Primal and Dual Methods for SVMs ICML 2013
The lasso, persistence, and cross-validation ICML 2013
Spectral Experts for Estimating Mixtures of Linear Regressions ICML 2013
Distribution to Distribution Regression ICML 2013
Regularization of Neural Networks using DropConnect ICML 2013