Rpi Seminars Mido

Offline and Online Learning and Decision-Making in the Predict-then-Optimize Setting 54:43
Offline and Online Learning and Decision-Making in the Predict-then-Optimize Setting RPI Seminars MIDO 595 2 года назад
Algorithms for Deterministically Constrained Stochastic Optimization 53:24
Algorithms for Deterministically Constrained Stochastic Optimization RPI Seminars MIDO 391 2 года назад
Distributed stochastic non-convex optimization: Optimal regimes and tradeoffs 57:00
Distributed stochastic non-convex optimization: Optimal regimes and tradeoffs RPI Seminars MIDO 98 3 года назад
Manifold learning for point-cloud data with applications in biology 55:42
Manifold learning for point-cloud data with applications in biology RPI Seminars MIDO 208 1 год назад
Data-driven discovery of interacting particle system using Gaussian processes, S. Tang@UCSB 53:02
Data-driven discovery of interacting particle system using Gaussian processes, S. Tang@UCSB RPI Seminars MIDO 178 3 года назад
Better Data Ordering for Stochastic Gradient Descent 47:29
Better Data Ordering for Stochastic Gradient Descent RPI Seminars MIDO 127 1 год назад
Active strict saddles in nonsmooth optimization 01:02:19
Active strict saddles in nonsmooth optimization RPI Seminars MIDO 95 2 года назад
Understanding Geometric Deep Learning via Signal Processing on Graphs and Manifolds, M. Hirn@MSU 01:01:51
Understanding Geometric Deep Learning via Signal Processing on Graphs and Manifolds, M. Hirn@MSU RPI Seminars MIDO 161 3 года назад
Universal Conditional Gradient Sliding for Convex Optimization 43:53
Universal Conditional Gradient Sliding for Convex Optimization RPI Seminars MIDO 223 2 года назад
Machine learning meets dynamics & variational Stiefel optimization, Molei Tao@Gatech 01:01:33
Machine learning meets dynamics & variational Stiefel optimization, Molei Tao@Gatech RPI Seminars MIDO 221 2 года назад
Inverse Optimal Transport: Learning Cost Functions for Optimal Transport, Xiaojing Ye@Georgia SU 57:04
Inverse Optimal Transport: Learning Cost Functions for Optimal Transport, Xiaojing Ye@Georgia SU RPI Seminars MIDO 328 4 года назад
Two-Layer Neural Networks for PDEs: Optimization and Generalization Theory, HaizhaoYang@Purdue 01:00:27
Two-Layer Neural Networks for PDEs: Optimization and Generalization Theory, HaizhaoYang@Purdue RPI Seminars MIDO 150 3 года назад
Optimal Transport for Inverse Problems and the Implicit Regularization, Yunan Yang@NYU 54:06
Optimal Transport for Inverse Problems and the Implicit Regularization, Yunan Yang@NYU RPI Seminars MIDO 353 3 года назад
Regression of functions on low-dimensional manifolds by deep neural networks, Wenjing Liao@Georgia T 01:03:59
Regression of functions on low-dimensional manifolds by deep neural networks, Wenjing Liao@Georgia T RPI Seminars MIDO 188 4 года назад
On the Robustness of Deep Neural Networks 56:43
On the Robustness of Deep Neural Networks RPI Seminars MIDO 172 2 года назад
Multiscale inverse problem: Interaction between multiple scales in physical system reconstruction 43:41
Multiscale inverse problem: Interaction between multiple scales in physical system reconstruction RPI Seminars MIDO 115 1 год назад
Equivariant Neural Networks for Learning Spatiotemporal Dynamics, R.Walters, Northeastern University 53:28
Equivariant Neural Networks for Learning Spatiotemporal Dynamics, R.Walters, Northeastern University RPI Seminars MIDO 184 2 года назад
A proximal algorithm for sampling, Yongxin Chen@Gtech 44:52
A proximal algorithm for sampling, Yongxin Chen@Gtech RPI Seminars MIDO 445 1 год назад
Units-equivariant machine learning, Soledad Villar@JHU 56:12
Units-equivariant machine learning, Soledad Villar@JHU RPI Seminars MIDO 111 2 года назад
Pi Cap | Workshop 01:12
Pi Cap | Workshop Bare Conductive 1,115 8 лет назад

Сейчас ищут