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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)

Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection NIPS 2008
Differentiable Sparse Coding NIPS 2008
Inferring rankings under constrained sensing NIPS 2008
Efficient Inference in Phylogenetic InDel Trees NIPS 2008
Estimating vector fields using sparse basis field expansions NIPS 2008
Spectral Clustering with Perturbed Data NIPS 2008
Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG NIPS 2008
Multi-stage Convex Relaxation for Learning with Sparse Regularization NIPS 2008
Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images NIPS 2008
A Scalable Hierarchical Distributed Language Model NIPS 2008
Supervised Exponential Family Principal Component Analysis via Convex Optimization NIPS 2008
Stochastic Relational Models for Large-scale Dyadic Data using MCMC NIPS 2008
Online Models for Content Optimization NIPS 2008
Robust Regression and Lasso NIPS 2008
Hierarchical Fisher Kernels for Longitudinal Data NIPS 2008
The Infinite Factorial Hidden Markov Model NIPS 2008
Sparse Signal Recovery Using Markov Random Fields NIPS 2008
Clustering via LP-based Stabilities NIPS 2008
Fast Computation of Posterior Mode in Multi-Level Hierarchical Models NIPS 2008
An improved estimator of Variance Explained in the presence of noise NIPS 2008
The Infinite Hierarchical Factor Regression Model NIPS 2008
Deep Learning with Kernel Regularization for Visual Recognition NIPS 2008
On Bootstrapping the ROC Curve NIPS 2008
QUIC-SVD: Fast SVD Using Cosine Trees NIPS 2008
A Massively Parallel Digital Learning Processor NIPS 2008