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Efficient Computing

6876 directly classified papers

Papers per year

Papers

Distributed Exploration in Multi-Armed Bandits NIPS 2013
Loss-Proportional Subsampling for Subsequent ERM ICML 2013
Classifier Cascade for Minimizing Feature Evaluation Cost AISTATS 2012
Timely Object Recognition NIPS 2012
Feature Clustering for Accelerating Parallel Coordinate Descent NIPS 2012
Sketch-Based Linear Value Function Approximation NIPS 2012
Analog readout for optical reservoir computers NIPS 2012
Super-Bit Locality-Sensitive Hashing NIPS 2012
Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach AISTATS 2012
Angular Quantization-based Binary Codes for Fast Similarity Search NIPS 2012
One Permutation Hashing NIPS 2012
Practical Large Scale Classification with Additive Kernels ACML 2012
Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity NIPS 2012
Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training JMLR 2012
NIMFA : A Python Library for Nonnegative Matrix Factorization JMLR 2012
DARWIN: A Framework for Machine Learning and Computer Vision Research and Development JMLR 2012
Large-scale Linear Support Vector Regression JMLR 2012
Fast and Accurate k-means For Large Datasets NIPS 2011
ShareBoost: Efficient multiclass learning with feature sharing NIPS 2011
Proximal Methods for Hierarchical Sparse Coding JMLR 2011
Dimensionality Reduction for Spectral Clustering AISTATS 2011
Spectral Clustering on a Budget AISTATS 2011
Hashing Algorithms for Large-Scale Learning NIPS 2011
Algorithms for Hyper-Parameter Optimization NIPS 2011
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition NIPS 2011