adaptive sampling

Measurement Maximizing Adaptive Sampling with Risk Bounding Functions AAAI 2019 Optimal Sampling and Clustering in the Stochastic Block Model NeurIPS 2019 Sample Adaptive MCMC NeurIPS 2019 A Bandit Approach to Sequential Experimental Design with False Discovery Control NeurIPS 2018 Adaptive Sampling Towards Fast Graph Representation Learning NeurIPS 2018 Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models NeurIPS 2018 A Faster Sampling Algorithm for Spherical k-means ACML 2018 Approximation Guarantees for Adaptive Sampling ICML 2018 Efficiently Sampling from Underlying Models RSS 2018 Watching a Small Portion could be as Good as Watching All: Towards Efficient Video Classification IJCAI 2018 Adaptive Sampling Probabilities for Non-Smooth Optimization ICML 2017 Adaptive Sampling Scheme for Learning in Severely Imbalanced Large Scale Data ACML 2017 A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent NeurIPS 2017 Faster Coordinate Descent via Adaptive Importance Sampling AISTATS 2017 Positive unlabeled learning via wrapper-based adaptive sampling IJCAI 2017 The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime COLT 2017 Uncertainty Decoding with Adaptive Sampling for Noise Robust DNN-Based Acoustic Modeling Interspeech 2017 Adaptive Concentration Inequalities for Sequential Decision Problems NeurIPS 2016 Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy NeurIPS 2016 Adaptive Sampling for SGD by Exploiting Side Information ICML 2016 Gradient-based Sampling: An Adaptive Importance Sampling for Least-squares NeurIPS 2016 Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling NeurIPS 2016 Starting Small - Learning with Adaptive Sample Sizes ICML 2016 The Multi-fidelity Multi-armed Bandit NeurIPS 2016 Column Selection via Adaptive Sampling NeurIPS 2015