← Optimization & Theory
Machine Learning › Optimization & Theory ›

Optimization

14207 directly classified papers

Papers per year

Papers

Online Robust Dictionary Learning CVPR 2013
Hash Bit Selection: A Unified Solution for Selection Problems in Hashing CVPR 2013
Competing With Strategies COLT 2013
Boosting with the Logistic Loss is Consistent COLT 2013
Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition ICCV 2013
Memory Limited, Streaming PCA NIPS 2013
Open Problem: Fast Stochastic Exp-Concave Optimization COLT 2013
Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions CVPR 2013
Robust Region Grouping via Internal Patch Statistics CVPR 2013
Separable Dictionary Learning CVPR 2013
Q-learning for history-based reinforcement learning ACML 2013
Computationally Efficient Regression on a Dependency Graph for Human Pose Estimation CVPR 2013
A Near-Optimal Algorithm for Differentially-Private Principal Components JMLR 2013
Structure Learning of Mixed Graphical Models AISTATS 2013
A Last-Step Regression Algorithm for Non-Stationary Online Learning AISTATS 2013
Learning Markov Networks With Arithmetic Circuits AISTATS 2013
Estimation of Extreme Values and Associated Level Sets of a Regression Function via Selective Sampling COLT 2013
Beating Bandits in Gradually Evolving Worlds COLT 2013
Subspace Embeddings and \ell_p-Regression Using Exponential Random Variables COLT 2013
Divide and Conquer Kernel Ridge Regression COLT 2013
Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes AISTATS 2013
3D Sub-query Expansion for Improving Sketch-Based Multi-view Image Retrieval ICCV 2013
The Fast Convergence of Incremental PCA NIPS 2013
Marginals-to-Models Reducibility NIPS 2013
Online Robust PCA via Stochastic Optimization NIPS 2013