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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)

Large Scale Distributed Deep Networks NIPS 2012
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses NIPS 2012
Near-Optimal MAP Inference for Determinantal Point Processes NIPS 2012
Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making NIPS 2012
Cost-Sensitive Exploration in Bayesian Reinforcement Learning NIPS 2012
MCMC for continuous-time discrete-state systems NIPS 2012
Spectral Learning of General Weighted Automata via Constrained Matrix Completion NIPS 2012
Scaled Gradients on Grassmann Manifolds for Matrix Completion NIPS 2012
Dimensionality Dependent PAC-Bayes Margin Bound NIPS 2012
MAP Inference in Chains using Column Generation NIPS 2012
Fused sparsity and robust estimation for linear models with unknown variance NIPS 2012
On the Sample Complexity of Robust PCA NIPS 2012
Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization NIPS 2012
Tight Bounds on Profile Redundancy and Distinguishability NIPS 2012
The variational hierarchical EM algorithm for clustering hidden Markov models NIPS 2012
Scalable nonconvex inexact proximal splitting NIPS 2012
Bayesian nonparametric models for ranked data NIPS 2012
Accuracy at the Top NIPS 2012
Approximating Equilibria in Sequential Auctions with Incomplete Information and Multi-Unit Demand NIPS 2012
Multiresolution Gaussian Processes NIPS 2012
Burn-in, bias, and the rationality of anchoring NIPS 2012
Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NIPS 2012
Risk-Aversion in Multi-armed Bandits NIPS 2012
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning NIPS 2012
Gradient-based kernel method for feature extraction and variable selection NIPS 2012