Videos

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Algorithms, Approximation, and Learning in Market and Mechanism Design: "Statistical Contract Theory" Thumbnail

Algorithms, Approximation, and Learning in Market and Mechanism Design: "Statistical Contract Theory"

Presenter
  • Michael Jordan
November 9, 2023
SLMath
Di Fang - Quantum algorithms for dynamics simulation: differential equations - IPAM at UCLA Thumbnail

Di Fang - Quantum algorithms for dynamics simulation: differential equations - IPAM at UCLA

Presenter
  • Di Fang
September 13, 2023
IPAM
Di Fang - Quantum algorithms for dynamics simulation: Hamiltonian simulation & general differential Thumbnail

Di Fang - Quantum algorithms for dynamics simulation: Hamiltonian simulation & general differential

Presenter
  • Di Fang
September 12, 2023
IPAM

Computing Invariants Of Hilbert Modular Surfaces

Presenter
  • Samuel Schiavone
July 10, 2023
ICERM
Smoothed Complexity of Local Max-Cut with Two Flips Thumbnail

Smoothed Complexity of Local Max-Cut with Two Flips

Presenter
  • Xi Chen
November 7, 2022
IAS
Yingzhou Li - Fast Algorithms for FCI excited states Thumbnail

Yingzhou Li - Fast Algorithms for FCI excited states

Presenter
  • Yingzhou Li
May 2, 2022
IPAM
Case Studies in Inferential Privacy: Frameworks and Algorithms Thumbnail

Case Studies in Inferential Privacy: Frameworks and Algorithms

Presenter
  • Kamalika Chaudhuri
February 11, 2022
IMSI
Computing Wasserstein barycenters using gradient descent algorithms Thumbnail

Computing Wasserstein barycenters using gradient descent algorithms

Presenter
  • Philippe Rigollet
May 4, 2020
SLMath

MapReduce algorithms for center-based clustering in doubing spaces

Presenter
  • Geppino Pucci
May 13, 2019
ICERM
Scalable algorithms for kernel-based surrogates in prediction and optimization Thumbnail

Scalable algorithms for kernel-based surrogates in prediction and optimization

Presenter
  • David Bindel
November 1, 2017
IPAM

Phaseless Imaging Algorithms and Applications

Presenter
  • James Fienup
August 15, 2017
IMA
Factored Gradient Descent: on Dropping Convexity for Faster Optimization Thumbnail

Factored Gradient Descent: on Dropping Convexity for Faster Optimization

Presenter
  • Sujay Sanghavi
May 16, 2016
IMA