Upcoming Events
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Preconditioning Helps: Faster Convergence in Statistical and Reinforcement Learning
Mon, Apr 19, 2021, 4:30 pm
Location:
Virtual Seminar
Speaker(s):
Yuejie Chi
Carnegie Mellon University
Preconditioning Helps: Faster Convergence in Statistical and Reinforcement Learning
CSML Poster Session Event
Accelerate Your Code at the Princeton GPU Hackathon, June 2, 8-10, 2021
Wed, Jun 2, 2021, 8:00 am to Thu, Jun 10, 2021, 8:00 am
Location:
Virtual Seminarl
Events Archive
Computational Optics for Control and Readout of Neural Activity
Speaker(s):
Yi Xue
University of California, Berkeley
Computational Optics for Control and Readout of Neural Activity
Optimization Inspired Deep Architectures for Multiview 3D
Location:
Virtual Seminar
Speaker(s):
Jia Deng
Princeton University
Optimization Inspired Deep Architectures for Multiview 3D
Fundamentals of Deep Learning (NVIDIA), Research Computing Bootcamp
Speaker(s):
Brad Palmer
Senior Solutions Architect at NVIDIA Corporation
GPU HPC Bootcamp (NVIDIA), Research Computing Bootcamp
Speaker(s):
TBD
Data Visualization in R, using ggplot2 with Daisy Huang, Research Computing Bootcamp
Speaker(s):
Daisy Huang
Center for Statistics and Machine Learning
Introduction to NumPy with Vineet Bansal, Research Computing Bootcamp
Speaker(s):
Vineet Bansal
Reproducible Research Reports with R Markdown with Daisy Huang, Research Computing Bootcamp
Speaker(s):
Daisy Huang
Center for Statistics and Machine Learning
Intro to Data Analysis Using R w/ Brian Arnold & Andrzej Zuranski (Schmidt DataX), Research Computing Bootcamp
Speaker(s):
Brian Arnold & Andrzej Zuranski
Schmidt DataX Fellows Center for Statistics and Machine Learning (CSML)
Research Computing Bootcamp, Jan. 19-29, 2021, Registration Now Open
Deep Networks from First Principles
Speaker(s):
Yi Ma
University of California, Berkeley
Deep Networks from First Principles