COLT 2022
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Paper Awards
Best paper
Efficient convex optimization requires superlinear memory
Annie Marsden; Vatsal Sharan; Aaron Sidford; Gregory Valiant
Best student paper
New projection-free algorithms for online convex optimization with adaptive regret guarantees
Ben Kretzu; Dan Garber
Best student paper runner-up
Universal online learning: An optimistically universal learning rule
Moise Blanchard
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