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Jelena Diakonikolas - Robust Learning of a Neuron: Bridging Computational Gaps Using Optimization
Presenter
- Jelena Diakonikolas
February 29, 2024
IPAM
Thien Le - On the hardness of learning under symmetries - IPAM at UCLA
Presenter
- Thien Le
February 27, 2024
IPAM
Vatsal Sharan - Memory as a lens to understand efficient learning and optimization - IPAM at UCLA
Presenter
- Vatsal Sharan
February 29, 2024
IPAM
Abhineet Agarwal - Understanding and overcoming the statistical limitations of decision trees
Presenter
- Abhineet Agarwal
February 27, 2024
IPAM
Andrea Montanari - Solving overparametrized systems of nonlinear equations - IPAM at UCLA
Presenter
- Andrea Montanari
February 28, 2024
IPAM
Adel Javanmard - Learning from Aggregate Responses - IPAM at UCLA
Presenter
- Adel Javanmard
February 26, 2024
IPAM
Sitan Chen - Provably learning a multi-head attention layer - IPAM at UCLA
Presenter
- Sitan Chen
February 29, 2024
IPAM
Ravi Kumar - Learning-Augmented Online Optimization - IPAM at UCLA
Presenter
- Ravi Kumar
February 26, 2024
IPAM
Pasin Manurangasi - Complex Adversarially Robust Proper Learning of Halfspaces w/ Agnostic Noise
Presenter
- Pasin Manurangasi
February 27, 2024
IPAM
Vasilis Kontonis - Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension
Presenter
- Vasilis Kontonis
February 27, 2024
IPAM
Giang Tran - Fast Multipole Attention: A Divide-and-Conquer Attention Mechanism for Long Sequences
Presenter
- Giang Tran
February 28, 2024
IPAM