Showing 621–640 of 1,000 results
/ Date/ Name
Dec 14, 2019Bayesian Linear Regression on Deep RepresentationsDec 13, 2019Dota 2 with Large Scale Deep Reinforcement LearningDec 13, 2019Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA ScansDec 12, 2019A Distributed Quasi-Newton Algorithm for Primal and Dual Regularized Empirical Risk MinimizationDec 12, 2019Coronary Artery Plaque Characterization from CCTA Scans using Deep Learning and RadiomicsDec 5, 2019An Empirical Study on the Intrinsic Privacy of SGDDec 3, 2019PyTorch: An Imperative Style, High-Performance Deep Learning LibraryNov 25, 2019A New Distribution-Free Concept for Representing, Comparing, and Propagating Uncertainty in Dynamical Systems with Kernel Probabilistic ProgrammingNov 25, 2019Learning to Optimize Variational Quantum Circuits to Solve Combinatorial ProblemsNov 25, 2019Disentangled Cumulants Help Successor Representations Transfer to New TasksNov 25, 2019Trajectory growth lower bounds for random sparse deep ReLU networksNov 21, 2019Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONASNov 20, 2019Gradient-based Optimization for Bayesian Preference ElicitationNov 20, 2019DPM: A deep learning PDE augmentation method (with application to large-eddy simulation)Nov 20, 2019Towards Physics-informed Deep Learning for Turbulent Flow PredictionNov 18, 2019A Simple Heuristic for Bayesian Optimization with A Low BudgetNov 13, 2019Federated and Differentially Private Learning for Electronic Health RecordsNov 13, 2019Asymptotics of Reinforcement Learning with Neural NetworksNov 12, 2019Hyper-Sphere Quantization: Communication-Efficient SGD for Federated LearningNov 11, 2019Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems