conftrace_

adaptive sampling

123 papers

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Co-occurring keywords

multi-armed bandit (1098) computational efficiency (362) markov chain monte carlo (725) sample complexity (1169) reinforcement learning (4352) variance reduction (523) diffusion model (3751) point cloud (1480) bayesian inference (1907) stochastic gradient descent (1091)

Papers

Adaptive Hashing for Model Counting UAI 2019
AdaptiveFace: Adaptive Margin and Sampling for Face Recognition CVPR 2019
Efficient Pure Exploration in Adaptive Round model NIPS 2019
Agile Depth Sensing Using Triangulation Light Curtains ICCV 2019
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries ICCV 2019
High-Dimensional Optimization in Adaptive Random Subspaces NIPS 2019
Gradient-based Adaptive Markov Chain Monte Carlo NIPS 2019
Fast Parallel Algorithms for Statistical Subset Selection Problems NIPS 2019
Measurement Maximizing Adaptive Sampling with Risk Bounding Functions AAAI 2019
Optimal Sampling and Clustering in the Stochastic Block Model NIPS 2019
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 Towards Fast Graph Representation Learning NIPS 2018
A Bandit Approach to Sequential Experimental Design with False Discovery Control NIPS 2018
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models NIPS 2018
Approximation Guarantees for Adaptive Sampling ICML 2018
A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent NIPS 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
Faster Coordinate Descent via Adaptive Importance Sampling AISTATS 2017
Adaptive Sampling Scheme for Learning in Severely Imbalanced Large Scale Data ACML 2017
Adaptive Sampling Probabilities for Non-Smooth Optimization ICML 2017
The Multi-fidelity Multi-armed Bandit NIPS 2016
Adaptive Concentration Inequalities for Sequential Decision Problems NIPS 2016