adaptive sampling

Graph Approximation and Clustering on a Budget AISTATS 2015 Adaptive Monte Carlo via Bandit Allocation ICML 2014 Adaptive Sampling for Large Scale Boosting JMLR 2014 Community Detection via Random and Adaptive Sampling COLT 2014 Kernel Adaptive Metropolis-Hastings ICML 2014 Most Correlated Arms Identification COLT 2014 Adaptive Hamiltonian and Riemann Manifold Monte Carlo ICML 2013 Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling JMLR 2013 Learning to Top-K Search using Pairwise Comparisons AISTATS 2013 Low-Rank Matrix and Tensor Completion via Adaptive Sampling NeurIPS 2013 Top-k Selection based on Adaptive Sampling of Noisy Preferences ICML 2013 Toward Optimal Stratification for Stratified Monte-Carlo Integration ICML 2013 Adaptive MCMC with Bayesian Optimization AISTATS 2012 Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions NeurIPS 2012 Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction NeurIPS 2012 Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities AISTATS 2011 Boosting with Maximum Adaptive Sampling NeurIPS 2011 Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication NeurIPS 2010