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Is non-convex optimization really hard? A couple of recent stories
Presenter
- Emmanuel Candès
September 26, 2018
IPAM
Non-linear dimension reduction in the age of big data
Presenter
- Marina Meila
September 26, 2018
IPAM
Scalable deep learning: using parallel algorithms and HPC systems to train large models on big data set
Presenter
- Brian Van Essen
September 17, 2018
IPAM
Snow Business: Scientific Computing in the Movies and Beyond
Presenter
- Joseph Teran
December 5, 2017
IMA
Robust MCMC Sampling with Non-Gaussian and Hierarchical Priors
Presenter
- Matt Dunlop
November 14, 2017
IPAM
Fast Phase Retrieval from Deterministic Measurements in Two Dimensions
Presenter
- Brian Preskitt
August 17, 2017
IMA
Extreme Events and Metastability in Fluids via Computation of Large Deviation Minimizers
Presenter
- Tobias Grafke
January 11, 2017
IPAM
First Order Methods for Manifolds with Orthogonality Constraints and Connections to the SVD
Presenter
- Laura Balzano
August 2, 2016
IMA
Communication Efficient Algorithms for Distributed Machine Learning
Presenter
- Nina Balcan
May 16, 2016
IMA
Recent Advances in Recommender Systems and Future Directions
Presenter
- George Karypis
March 22, 2016
IMA
Computationally Expensive Multi-objective Optimization
Presenter
- Juliane Mueller
February 23, 2016
IMA
Grothendieck Constant and Structured Matrix Computations
Presenter
- Lek-Heng Lim
January 27, 2016
IMA