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Scaling Up Bayesian Neural Networks with Neural Networks
Presenter
- Babak Shahbaba
January 12, 2026
ICERM
Jelena Diakonikolas - Robust Learning of a Neuron: Bridging Computational Gaps Using Optimization
Presenter
- Jelena Diakonikolas
February 29, 2024
IPAM
Randomization, Neutrality, and Fairness: "Sampling, Optimization, and Evaluating Tradeoffs in Redistricting"
Presenter
- Daryl DeFord
October 26, 2023
SLMath
Advances in Probabilistic Generative Modeling for Scientific Machine Learning
Presenter
- Fei Sha
June 11, 2025
IMSI
Addressing some computational and modeling challenges in phylogenomic analysis
Presenter
- Minh Bui
November 20, 2024
ICERM
Vatsal Sharan - Memory as a lens to understand efficient learning and optimization - IPAM at UCLA
Presenter
- Vatsal Sharan
February 29, 2024
IPAM
Leveraging Multi-time Hamilton Jacobi PDEs for Certain Scientific Machine Learning Problems
Presenter
- Paula Chen
June 9, 2023
ICERM
Raghu Meka - Complexity of Sparse Linear Regression - IPAM at UCLA
Presenter
- Raghu Meka
March 1, 2024
IPAM
ML Without Unnecessary Harm: Blind Pareto Fairness and Subgroup Robustness
Presenter
- Guillermo Sapiro
July 6, 2021
ICERM
Low-rank matrix recovery from quantized or count observations
Presenter
- Mark Davenport
September 11, 2020
IAS
Randomization, Neutrality, and Fairness: "Bringing Causality into Fairness: Application to Pretrial Public Safety Assessment"
Presenter
- Kosuke Imai
October 24, 2023
SLMath