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Overview of classical ML: unsupervised learning and regularized regression
Presenter
- Luca Ghiringhelli
March 11, 2024
IMSI
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
Marika Maria Kieferova - Generating Approx. Ground State of Molecules Using Quantum Machine Learning
Presenter
- Marika Kieferova
October 18, 2023
IPAM
Workshop: Mathematics and Computer Science of Market and Mechanism Design: "Modeling Human Strategic Behavior from a Machine Learning Perspective"
Presenter
- Kevin Leyton-Brown
September 14, 2023
SLMath
Multi-group fairness, loss minimization and indistinguishability
Presenter
- Parikshit Gopalan
April 12, 2022
IAS
Supervised Learning and Canonical Decomposition of Multivariate Functions (Joint work with Nikos Kargas)
Presenter
- Nikos Sidiropoulos
May 5, 2021
IPAM
Neural network verification as piecewise linear optimization
Presenter
- Joseph Huchette
February 23, 2021
IPAM
Convex Set Disjointness, Distributed Learning of Halfspaces, and Linear Programming
Presenter
- Shay Moran
May 12, 2020
IAS
Your Brain on Energy-Based Models: Applying and Scaling EBMs to Problems of Interest to the Machine Learning Community Today
Presenter
- Will Grathwohl
March 10, 2020
IAS
Gradient descent, Stochastic gradient descent, and acceleration
Presenter
- Adam Oberman
March 10, 2020
IPAM
