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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 regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters AISTATS 2012
Evaluation of marginal likelihoods via the density of states AISTATS 2012
Information Theoretic Model Validation for Spectral Clustering AISTATS 2012
Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior AISTATS 2012
Kernel Topic Models AISTATS 2012
Stochastic Bandit Based on Empirical Moments AISTATS 2012
Subset Infinite Relational Models AISTATS 2012
High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods AISTATS 2012
Random Feature Maps for Dot Product Kernels AISTATS 2012
On Bayesian Upper Confidence Bounds for Bandit Problems AISTATS 2012
Online Clustering of Processes AISTATS 2012
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models AISTATS 2012
Bayesian Classifier Combination AISTATS 2012
Regression for sets of polynomial equations AISTATS 2012
Marginal Regression For Multitask Learning AISTATS 2012
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets AISTATS 2012
High-Dimensional Structured Feature Screening Using Binary Markov Random Fields AISTATS 2012
A Simple Geometric Interpretation of SVM using Stochastic Adversaries AISTATS 2012
Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling AISTATS 2012
Adaptive MCMC with Bayesian Optimization AISTATS 2012
Max-Margin Min-Entropy Models AISTATS 2012
Lifted Linear Programming AISTATS 2012
The adversarial stochastic shortest path problem with unknown transition probabilities AISTATS 2012
A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views AISTATS 2012
Beyond Logarithmic Bounds in Online Learning AISTATS 2012