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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)

Competing with an Infinite Set of Models in Reinforcement Learning AISTATS 2013
Efficient Variational Inference for Gaussian Process Regression Networks AISTATS 2013
High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers AISTATS 2013
Bayesian Structure Learning for Functional Neuroimaging AISTATS 2013
Random Projections for Support Vector Machines AISTATS 2013
Distribution-Free Distribution Regression AISTATS 2013
Localization and Adaptation in Online Learning AISTATS 2013
A recursive estimate for the predictive likelihood in a topic model AISTATS 2013
Changepoint Detection over Graphs with the Spectral Scan Statistic AISTATS 2013
Central Limit Theorems for Conditional Markov Chains AISTATS 2013
Statistical Tests for Contagion in Observational Social Network Studies AISTATS 2013
Completeness Results for Lifted Variable Elimination AISTATS 2013
On the Asymptotic Optimality of Maximum Margin Bayesian Networks AISTATS 2013
Collapsed Variational Bayesian Inference for Hidden Markov Models AISTATS 2013
Block Regularized Lasso for Multivariate Multi-Response Linear Regression AISTATS 2013
Bethe Bounds and Approximating the Global Optimum AISTATS 2013
Dual Decomposition for Joint Discrete-Continuous Optimization AISTATS 2013
Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes AISTATS 2013
Scoring anomalies: a M-estimation formulation AISTATS 2013
Open Problem: Adversarial Multiarmed Bandits with Limited Advice COLT 2013
Open Problem: Fast Stochastic Exp-Concave Optimization COLT 2013
On the Complexity of Bandit and Derivative-Free Stochastic Convex Optimization COLT 2013
Excess risk bounds for multitask learning with trace norm regularization COLT 2013
Honest Compressions and Their Application to Compression Schemes COLT 2013
Estimation of Extreme Values and Associated Level Sets of a Regression Function via Selective Sampling COLT 2013