Showing 1–17 of 17 results
/ Date/ Name
Nov 19, 2024Problem-dependent convergence bounds for randomized linear gradient compressionOct 29, 2016Forward sensitivity analysis for contracting stochastic systemsMar 5, 2019Change Detection with the Kernel Cumulative Sum AlgorithmMay 3, 2019A Simultaneous Perturbation Weak Derivative Estimator for Stochastic Neural NetworksAug 1, 2017The duality structure gradient descent algorithm: analysis and applications to neural networksFeb 20, 2020Bounding the expected run-time of nonconvex optimization with early stoppingMay 1, 2020A persistent adjoint method with dynamic time-scaling and an application to mass action kineticsSep 8, 2023Trapped Imbalanced Quantum DropletsSep 9, 2022Quantum Droplets in Imbalanced Atomic MixturesJun 13, 2019Layered SGD: A Decentralized and Synchronous SGD Algorithm for Scalable Deep Neural Network TrainingMay 12, 2021SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep LearningJun 24, 2021Stochastic Projective Splitting: Solving Saddle-Point Problems with Multiple RegularizersDec 22, 2023SuperVortexNet: Reconstructing Superfluid Vortex Filaments Using Deep LearningNov 26, 2025Dynamical Implicit Neural RepresentationsOct 25, 2023Learning Generalizable Program and Architecture Representations for Performance ModelingFeb 15, 2024An Evaluation of Real-time Adaptive Sampling Change Point Detection Algorithm using KCUSUMNov 8, 2023Predicting Bubble Fragmentation in Superfluids