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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)

Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions NIPS 2009
Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification NIPS 2009
Nash Equilibria of Static Prediction Games NIPS 2009
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization NIPS 2009
Unsupervised Feature Selection for the $k$-means Clustering Problem NIPS 2009
Variational Inference for the Nested Chinese Restaurant Process NIPS 2009
Approximating MAP by Compensating for Structural Relaxations NIPS 2009
Discrete MDL Predicts in Total Variation NIPS 2009
Efficient and Accurate Lp-Norm Multiple Kernel Learning NIPS 2009
Distribution-Calibrated Hierarchical Classification NIPS 2009
A Smoothed Approximate Linear Program NIPS 2009
Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model NIPS 2009
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models NIPS 2009
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation NIPS 2009
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers NIPS 2009
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction NIPS 2009
Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions NIPS 2009
Online Learning of Assignments NIPS 2009
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference NIPS 2009
Learning a Small Mixture of Trees NIPS 2009
Know Thy Neighbour: A Normative Theory of Synaptic Depression NIPS 2009
Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs NIPS 2009
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields NIPS 2009
Multiple Incremental Decremental Learning of Support Vector Machines NIPS 2009
Bayesian Source Localization with the Multivariate Laplace Prior NIPS 2009