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Is optimization computationally equivalent to online learning?
Presenter
- Elad Hazan
October 5, 2015
IAS
New Algorithms for Learning Incoherent and Overcomplete Dictionaries
Presenter
- Rong Ge
May 7, 2014
ICERM
Zecheng Zhang - Deep Operator Learning Approximation and Distributed Applications - IPAM at UCLA
Presenter
- Zecheng Zhang
July 16, 2025
IPAM
Jarrod McClean - Dequantization and quantum advantage in learning from experiments
Presenter
- Jarrod McClean
January 25, 2022
IPAM
Towards a Theory of Representation Learning for Reinforcement Learning
Presenter
- Alekh Agarwal
August 2, 2021
ICERM
Computational Imaging: Reconciling Models and Learning
Presenter
- Ulugbek Kamilov
January 28, 2020
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
Incorporation of Geometry into Learning Algorithms and Medicine
Presenter
- Alexander Cloninger
December 5, 2016
IMA
Bayesian Gene-tree Reconstruction and Learning in Phylogenomics
Presenter
- Matthew Rasmussen
February 25, 2010
MBI
Efficient Tensor Representation for Deep Learning with TensorLy and PyTorch
Presenter
- Jean Kossaifi
May 19, 2021
IPAM
Communication-Avoiding Sparse Matrix Algorithms for Large Graph and Machine Learning Problems
Presenter
- Aydin Buluç
November 28, 2018
IPAM