Showing 21–40 of 43 results
/ Date/ Name
Oct 12, 2019Closure Learning for Nonlinear Model Reduction Using Deep Residual Neural NetworkJun 18, 2020An adaptive stochastic gradient-free approach for high-dimensional blackbox optimizationJul 3, 2021An asymptotically compatible probabilistic collocation method for randomly heterogeneous nonlocal problemsJun 7, 2021Offline Policy Comparison under Limited Historical Agent-Environment InteractionsMar 1, 2015Numerical Methods for a Class of Nonlocal Diffusion Problems with the Use of Backward SDEsSep 11, 2024Mamba for Scalable and Efficient Personalized RecommendationsNov 1, 2023Gaussian smoothing gradient descent for minimizing functions (GSmoothGD)Jul 20, 2015Explicit cost bounds of stochastic Galerkin approximations for parameterized PDEs with random coefficientsDec 24, 2021On the Unreasonable Efficiency of State Space Clustering in Personalization TasksNov 18, 2024Anisotropic Gaussian Smoothing for Gradient-based OptimizationOct 9, 2023Increasing Entropy to Boost Policy Gradient Performance on Personalization TasksAug 4, 2015An Efficient Meshfreee Implicit Filter for Nonlinear Filtering ProblemsNov 1, 2023Improved Performance of Stochastic Gradients with Gaussian SmoothingMay 18, 2018Resilient entanglement gates for trapped ionsAug 8, 2017Generation of high-fidelity quantum control methods for multi-level systemsMar 15, 2013Simple Manipulation of a Microwave Dressed-State Ion QubitApr 9, 2014A Multilevel Stochastic Collocation Method for Partial Differential Equations with Random Input DataAug 5, 2015A Dynamically Adaptive Sparse Grid Method for Quasi-Optimal Interpolation of Multidimensional Analytic FunctionsJun 22, 2016On the Lebesgue Constant of Weighted Leja Points for Lagrange Interpolation on Unbounded DomainsAug 7, 2015Analysis of quasi-optimal polynomial approximations for parameterized PDEs with deterministic and stochastic coefficients