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Vasilis Kontonis - Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension
Presenter
- Vasilis Kontonis
February 27, 2024
IPAM
Pasin Manurangasi - Complex Adversarially Robust Proper Learning of Halfspaces w/ Agnostic Noise
Presenter
- Pasin Manurangasi
February 27, 2024
IPAM
Abhineet Agarwal - Understanding and overcoming the statistical limitations of decision trees
Presenter
- Abhineet Agarwal
February 27, 2024
IPAM
Thien Le - On the hardness of learning under symmetries - IPAM at UCLA
Presenter
- Thien Le
February 27, 2024
IPAM
Ravi Kumar - Learning-Augmented Online Optimization - IPAM at UCLA
Presenter
- Ravi Kumar
February 26, 2024
IPAM
Jelani Nelson - New local differentially private protocols for frequency and mean estimation
Presenter
- Jelani Nelson
February 26, 2024
IPAM
Adel Javanmard - Learning from Aggregate Responses - IPAM at UCLA
Presenter
- Adel Javanmard
February 26, 2024
IPAM
Omer Reingold - Algorithmic Fairness, Loss Minimization and Outcome Indistinguishability
Presenter
- Omer Reingold
February 26, 2024
IPAM
Aurora Clark - high-dimension perspective on extracting & encoding information in chemical systems
Presenter
- Aurora Clark
May 3, 2023
IPAM
Ian Robinson - Progress towards Machine Learning Phasing for Bragg Coherent Diffractive Imaging
Presenter
- Ian Robinson
October 13, 2022
IPAM
Dave Aasen - Quantum computation from dynamic automorphism codes - IPAM at UCLA
Presenter
- Dave Aasen
November 27, 2023
IPAM