Schedule subject to change. All talks in Pacific Time.

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Whiteboard Talks in Calvin Lab Auditorium
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Poster Session on the 2nd Floor
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Coffee and Check In
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Opening Remarks
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What Functions Do Transformers Prefer to Represent?
Surbhi Goel (Microsoft Research and University of Pennsylvania)
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Break
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On the Power of Preconditioning in Sparse Linear Regression
Raghu Meka (UCLA)
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Break
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Higher-Dimensional Expansion of Random Geometric Complexes
Tselil Schramm (Stanford University)
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Lunch
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The Compensated Coupling (or Why the Future is the Best Guide for the Present)
Sid Banerjee (Cornell University)
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Break
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Sample Complexity Of Policy-Based Methods Under Off-Policy Sampling And Linear Function Approximation
Siva Theja Maguluri (Georgia Institute of Technology)
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Break
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On The Exploration In Load-Balancing Under Unknown Service Rates
Weina Wang (CMU)