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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)

Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries AISTATS 2010
Boosted Optimization for Network Classification AISTATS 2010
Dirichlet Process Mixtures of Generalized Linear Models AISTATS 2010
Negative Results for Active Learning with Convex Losses AISTATS 2010
Coherent Inference on Optimal Play in Game Trees AISTATS 2010
Collaborative Filtering via Rating Concentration AISTATS 2010
Learning Nonlinear Dynamic Models from Non-sequenced Data AISTATS 2010
Learning Bayesian Network Structure using LP Relaxations AISTATS 2010
Structured Sparse Principal Component Analysis AISTATS 2010
Nonlinear functional regression: a functional RKHS approach AISTATS 2010
Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity AISTATS 2010
Fast Active-set-type Algorithms for $l1$-regularized Linear Regression AISTATS 2010
Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach AISTATS 2010
Relating Function Class Complexity and Cluster Structure in the Function Domain with Applications to Transduction AISTATS 2010
The Feature Selection Path in Kernel Methods AISTATS 2010
Simple Exponential Family PCA AISTATS 2010
The Group Dantzig Selector AISTATS 2010
Descent Methods for Tuning Parameter Refinement AISTATS 2010
Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net AISTATS 2010
Contextual Multi-Armed Bandits AISTATS 2010
Exploiting Feature Covariance in High-Dimensional Online Learning AISTATS 2010
Inductive Principles for Restricted Boltzmann Machine Learning AISTATS 2010
Parallelizable Sampling of Markov Random Fields AISTATS 2010
Exploiting Within-Clique Factorizations in Junction-Tree Algorithms AISTATS 2010
Elliptical slice sampling AISTATS 2010