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Paul Grigas - Offline and Online Learning for Contextual Stochastic Optimization - IPAM at UCLA
Presenter
- Paul Grigas
March 3, 2023
IPAM
Local keynote lecture: Reinforcement learning for functional state space with application to Type 1 Diabetes
Presenter
- Susan Wei
March 5, 2018
IMA
Keynote: Recent advances in outcome weighted learning for precision medicine
Presenter
- Michael Kosorok
September 15, 2017
IMA
Maxim Ziatdinov - Bits and Atoms: Exploring the Intersection of Machine Learning and Microscopy
Presenter
- Maxim Ziatdinov
January 27, 2023
IPAM
Learning Shape Templates using Structured Implicit Functions
Presenter
- Thomas Funkhouser
April 18, 2019
IPAM
Multi-scale modeling of materials revisited: Accelerated computing and machine learning
Presenter
- Kaushik Bhattacharya
February 15, 2021
IMSI
Accelerating Scientific Discovery through Interpretable Machine Learning and Intelligent Experimentation
Presenter
- Peter Frazier
October 16, 2019
IPAM
Statistical Relational Learning with Graph Neural Networks
Presenter
- Mathias Niepert
May 22, 2019
IPAM
Hot Topics: Recent Progress in Deterministic and Stochastic Fluid-Structure Interaction: "Integrating Cell-Based Numerical Analysis and Machine Learning for Assessing the Binding Behavior of Circulating Tumor Cells in Microfluidic Devices and Achieving Phenotype Classification"
Presenter
- Yifan Wang
December 7, 2023
SLMath
Reinforcement Learning Algorithm for Mixed Mean Field Control Games
Presenter
- Jean-Pierre Fouque
May 26, 2022
IMSI
Machine learning approaches for a few optimization problems involving lines-of-sight
Presenter
- Richard Tsai
May 2, 2019
IPAM