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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)

Computationally Efficient Sufficient Dimension Reduction via Squared-Loss Mutual Information ACML 2011
Learning Attribute-weighted Voter Model over Social Networks ACML 2011
Estimating Diffusion Probability Changes for AsIC-SIS Model from Information Diffusion Results ACML 2011
Discussion of “Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables” AISTATS 2011
Contextual Bandit Algorithms with Supervised Learning Guarantees AISTATS 2011
Discussion of “Contextual Bandit Algorithms with Supervised Learning Guarantees” AISTATS 2011
The Neural Autoregressive Distribution Estimator AISTATS 2011
Spectral Dimensionality Reduction via Maximum Entropy AISTATS 2011
Discussion of “Spectral Dimensionality Reduction via Maximum Entropy” AISTATS 2011
A conditional game for comparing approximations AISTATS 2011
Discussion of “A conditional game for comparing approximations” AISTATS 2011
Discussion of “The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling” AISTATS 2011
Generative Kernels for Exponential Families AISTATS 2011
Linear-Time Estimators for Propensity Scores AISTATS 2011
Polytope samplers for inference in ill-posed inverse problems AISTATS 2011
Dynamic Policy Programming with Function Approximation AISTATS 2011
Statistical Optimization of Non-Negative Matrix Factorization AISTATS 2011
Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm AISTATS 2011
Switch-Reset Models : Exact and Approximate Inference AISTATS 2011
Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models AISTATS 2011
Contextual Bandits with Linear Payoff Functions AISTATS 2011
A Spike and Slab Restricted Boltzmann Machine AISTATS 2011
Optimal and Robust Price Experimentation: Learning by Lottery AISTATS 2011
Bagged Structure Learning of Bayesian Network AISTATS 2011
Revisiting MAP Estimation, Message Passing and Perfect Graphs AISTATS 2011