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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)

Probabilistic Movement Primitives NIPS 2013
Speedup Matrix Completion with Side Information: Application to Multi-Label Learning NIPS 2013
Message Passing Inference with Chemical Reaction Networks NIPS 2013
Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent NIPS 2013
A Stability-based Validation Procedure for Differentially Private Machine Learning NIPS 2013
Unsupervised Spectral Learning of Finite State Transducers NIPS 2013
Density estimation from unweighted k-nearest neighbor graphs: a roadmap NIPS 2013
Actor-Critic Algorithms for Risk-Sensitive MDPs NIPS 2013
Probabilistic Principal Geodesic Analysis NIPS 2013
Learning Adaptive Value of Information for Structured Prediction NIPS 2013
Spike train entropy-rate estimation using hierarchical Dirichlet process priors NIPS 2013
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima NIPS 2013
Robust Data-Driven Dynamic Programming NIPS 2013
Optimization, Learning, and Games with Predictable Sequences NIPS 2013
Multi-Task Bayesian Optimization NIPS 2013
First-order Decomposition Trees NIPS 2013
Noise-Enhanced Associative Memories NIPS 2013
Adaptive Submodular Maximization in Bandit Setting NIPS 2013
Approximate inference in latent Gaussian-Markov models from continuous time observations NIPS 2013
Lexical and Hierarchical Topic Regression NIPS 2013
Adaptive Step-Size for Policy Gradient Methods NIPS 2013
Mixed Optimization for Smooth Functions NIPS 2013
A simple example of Dirichlet process mixture inconsistency for the number of components NIPS 2013
Learning Kernels Using Local Rademacher Complexity NIPS 2013
Bayesian entropy estimation for binary spike train data using parametric prior knowledge NIPS 2013