Start date cannot be after end date.
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
Presenter
- Daniel Kuhn
February 26, 2020
IPAM
Convexity Exploiting Newton-Type Optimization for Learning and Control
Presenter
- Moritz Diehl
February 24, 2020
IPAM
Accelerating Scientific Discovery through Interpretable Machine Learning and Intelligent Experimentation
Presenter
- Peter Frazier
October 16, 2019
IPAM
New Techniques in Optimization and Their Applications to Deep Learning and Related Inverse Problems
Presenter
- Stanley Osher
February 8, 2018
IPAM
Communication Efficient Algorithms for Distributed Machine Learning
Presenter
- Nina Balcan
May 16, 2016
IMA
Large group discussion on What have we learned about manifold learning
Presenter
- Partha Niyogi
October 27, 2008
IMA
GeoGebra: Open Source Software for Learning and Teaching Mathematics
Presenter
- Markus Hohenwarter
June 1, 2007
SLMath
Giang Tran - Fast Multipole Attention: A Divide-and-Conquer Attention Mechanism for Long Sequences
Presenter
- Giang Tran
February 28, 2024
IPAM
Vasilis Kontonis - Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension
Presenter
- Vasilis Kontonis
February 27, 2024
IPAM
Pasin Manurangasi - Complex Adversarially Robust Proper Learning of Halfspaces w/ Agnostic Noise
Presenter
- Pasin Manurangasi
February 27, 2024
IPAM
Thien Le - On the hardness of learning under symmetries - IPAM at UCLA
Presenter
- Thien Le
February 27, 2024
IPAM