Videos

Start date cannot be after end date.
Randomization, Neutrality, and Fairness: "Fairness in Algorithmic Decisions via Social Choice" Thumbnail

Randomization, Neutrality, and Fairness: "Fairness in Algorithmic Decisions via Social Choice"

Presenter
  • Nisarg Shah
October 24, 2023
SLMath
Zoe Holmes - Exponential Concentration in Quantum Generative Modeling and Quantum Kernel Methods Thumbnail

Zoe Holmes - Exponential Concentration in Quantum Generative Modeling and Quantum Kernel Methods

Presenter
  • Zoe Holmes
October 17, 2023
IPAM
Introductory Workshop: Algorithms, Fairness, and Equity: "Estimating and Controlling for Fairness via Sensitive Attribute Predictors" Thumbnail

Introductory Workshop: Algorithms, Fairness, and Equity: "Estimating and Controlling for Fairness via Sensitive Attribute Predictors"

Presenter
  • Jeremias Sulam
August 30, 2023
SLMath
Online learning for healthcare treatment recommendation: risk-aware decisions and delayed feedback Thumbnail

Online learning for healthcare treatment recommendation: risk-aware decisions and delayed feedback

Presenter
  • Renyuan Xu
May 17, 2023
IMSI

Wasserstein Isometric Mapping and Image Manifold Learning

Presenter
  • Keaton Hamm
May 11, 2023
ICERM
Juliane Mueller - Adaptive Computing and multi-fidelity learning - IPAM at UCLA Thumbnail

Juliane Mueller - Adaptive Computing and multi-fidelity learning - IPAM at UCLA

Presenter
  • Juliane Mueller
May 4, 2023
IPAM
Tutorial on Conformal Prediction and Distribution-Free Uncertainty Quantification Thumbnail

Tutorial on Conformal Prediction and Distribution-Free Uncertainty Quantification

Presenter
  • Anastasios Angelopoulos
March 31, 2023
IMSI
The Signature and Natural Slope of Hyperbolic Knots Thumbnail

The Signature and Natural Slope of Hyperbolic Knots

Presenter
  • Marc Lackenby
March 30, 2022
IAS
Equivariant machine learning, structure like classical physics Thumbnail

Equivariant machine learning, structure like classical physics

Presenter
  • Soledad Villar
March 4, 2022
IMSI
Case Studies in Inferential Privacy: Frameworks and Algorithms Thumbnail

Case Studies in Inferential Privacy: Frameworks and Algorithms

Presenter
  • Kamalika Chaudhuri
February 11, 2022
IMSI
Machine Learning in the Multi-Messenger Era: Inference as a service and optimal light curve augmentation Thumbnail

Machine Learning in the Multi-Messenger Era: Inference as a service and optimal light curve augmentation

Presenter
  • Michael Coughlin
November 30, 2021
IPAM
Real-time gravitational-wave parameter estimation using machine learning Thumbnail

Real-time gravitational-wave parameter estimation using machine learning

Presenter
  • Stephen Green
November 17, 2021
IPAM