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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)

Bayesian Quadrature for Ratios AISTATS 2012
Stick-Breaking Beta Processes and the Poisson Process AISTATS 2012
Approximate Inference by Intersecting Semidefinite Bound and Local Polytope AISTATS 2012
Part & Clamp: Efficient Structured Output Learning AISTATS 2012
Learning Low-order Models for Enforcing High-order Statistics AISTATS 2012
Fast interior-point inference in high-dimensional sparse, penalized state-space models AISTATS 2012
Informative Priors for Markov Blanket Discovery AISTATS 2012
Nonparametric Estimation of Conditional Information and Divergences AISTATS 2012
Deep Learning Made Easier by Linear Transformations in Perceptrons AISTATS 2012
A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification AISTATS 2012
Domain Adaptation: A Small Sample Statistical Approach AISTATS 2012
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks AISTATS 2012
Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression AISTATS 2012
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012
Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models AISTATS 2012
Using More Data to Speed-up Training Time AISTATS 2012
Sparsistency of the Edge Lasso over Graphs AISTATS 2012
Complexity of Bethe Approximation AISTATS 2012
Multi-armed Bandit Problems with History AISTATS 2012
Low rank continuous-space graphical models AISTATS 2012
Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization AISTATS 2012
Consistency and Rates for Clustering with DBSCAN AISTATS 2012
Testing for Membership to the IFRA and the NBU Classes of Distributions AISTATS 2012
Flexible Martingale Priors for Deep Hierarchies AISTATS 2012
Bayesian Inference for Change Points in Dynamical Systems with Reusable States - a Chinese Restaurant Process Approach AISTATS 2012