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Stochastic Optimization: Complexity-Based Analysis and Development Engineering Applications
Presenter
- Caleb Bugg
November 16, 2024
ICERM
David Wolpert - From Smith’s Invisible Hand to Distributed Optimization and Control - IPAM at UCLA
Presenter
- David Wolpert
November 4, 2024
IPAM
Christopher Hillar - From McCulloch-Pitts to Retina - IPAM at UCLA
Presenter
- Christopher Hillar
November 4, 2024
IPAM
Adityanarayanan Radhakrishnan - How do neural networks learn features from data? - IPAM at UCLA
Presenter
- Adityanarayanan Radhakrishnan
October 18, 2024
IPAM
Nikos Tsilivis - The Price of Implicit Bias in Robust ML - IPAM at UCLA
Presenter
- Nikos Tsilivis
October 14, 2024
IPAM
Jacob Foster - Death & dreams in low dimensions: discovering pattern & structure in cultural traces
Presenter
- Jacob Foster
September 25, 2024
IPAM
Kelsey Allen - Physical problem-solving across timescales - IPAM at UCLA
Presenter
- Kelsey Allen
September 24, 2024
IPAM
Misha Belkin - The elusive generalization and easy optimization, Pt. 1 of 2 - IPAM at UCLA
Presenter
- Misha Belkin
September 12, 2024
IPAM
Misha Belkin - The elusive generalization and easy optimization, Pt. 2 of 2 - IPAM at UCLA
Presenter
- Misha Belkin
September 12, 2024
IPAM
Learning a Neural Free-Energy Functional from Pair-Correlation Functions
Presenter
- Bernd Ensing
April 25, 2024
IMSI
Active learning of Boltzmann samplers and potential energies with quantum mechanical accuracy
Presenter
- Pilar Cossio
April 25, 2024
IMSI