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Towards a Theory of Representation Learning for Reinforcement Learning
Presenter
- Alekh Agarwal
August 2, 2021
ICERM
Scalable algorithms for optimal training data for Bayesian inference of large scale models
Presenter
- Omar Ghattas
September 27, 2018
IPAM
Statistical methods for modeling network distributions
Presenter
- Jennifer Neville
March 23, 2016
MBI
Comparatively Concise Collection of Computing Challenges for Comprehending Climate Change
Presenter
- Philip Jones
April 12, 2011
IMA
Beyond matrices: higher-order tensor methods meet computational biology
Presenter
- Miaoyan Wang
September 2, 2021
IMSI
Quantitative Methods for High-Throughput Live Cell Imaging
Presenter
- Jens Rittscher
March 28, 2017
MBI
Modeling of complex reservoirs: An excursion into mp Geostatistics and new data integration paradigms (II)
Presenter
- Sanjay Srinivasan
March 21, 2017
IPAM
Modeling of complex reservoirs: An excursion into mp Geostatistics and new data integration paradigms (I)
Presenter
- Sanjay Srinivasan
March 21, 2017
IPAM
Online learning for healthcare treatment recommendation: risk-aware decisions and delayed feedback
Presenter
- Renyuan Xu
May 17, 2023
IMSI
Joshua Schrier - Creating Complex Scientific Workflows that Reach into the Real World - IPAM at UCLA
Presenter
- Joshua Schrier
May 2, 2023
IPAM
Skeletonization and Partitioning of Digital Images Using Discrete Morse Theory
Presenter
- Vanessa Robins
February 13, 2014
IMA