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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)

Modeling the spacing effect in sequential category learning NIPS 2009
Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process NIPS 2009
Matrix Completion from Power-Law Distributed Samples NIPS 2009
Heavy-Tailed Symmetric Stochastic Neighbor Embedding NIPS 2009
Which graphical models are difficult to learn? NIPS 2009
Information-theoretic lower bounds on the oracle complexity of convex optimization NIPS 2009
From PAC-Bayes Bounds to KL Regularization NIPS 2009
On Stochastic and Worst-case Models for Investing NIPS 2009
Submanifold density estimation NIPS 2009
Distribution Matching for Transduction NIPS 2009
A Parameter-free Hedging Algorithm NIPS 2009
Ranking Measures and Loss Functions in Learning to Rank NIPS 2009
Fast, smooth and adaptive regression in metric spaces NIPS 2009
Linearly constrained Bayesian matrix factorization for blind source separation NIPS 2009
Sparse and Locally Constant Gaussian Graphical Models NIPS 2009
Sparse Metric Learning via Smooth Optimization NIPS 2009
Bootstrapping from Game Tree Search NIPS 2009
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation NIPS 2009
Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process NIPS 2009
Fast Image Deconvolution using Hyper-Laplacian Priors NIPS 2009
AUC optimization and the two-sample problem NIPS 2009
Asymptotically Optimal Regularization in Smooth Parametric Models NIPS 2009
Lattice Regression NIPS 2009
The Wisdom of Crowds in the Recollection of Order Information NIPS 2009
Efficient Recovery of Jointly Sparse Vectors NIPS 2009