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Tight analyses for subgradient descent I: Lower bounds
by
Harvey, Nicholas J. A.
,
Liaw, Chris
,
Randhawa, Sikander
Published in
Open Journal of Mathematical Optimization
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Optimal anytime regret with two experts
by
Harvey, Nicholas J. A.
,
Liaw, Christopher
,
Perkins, Edwin
,
Randhawa, Sikander
Published in
Mathematical statistics and learning (Online)
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Optimal anytime regret with two experts
by
Harvey, Nicholas J A
,
Liaw, Christopher
,
Perkins, Edwin
,
Randhawa, Sikander
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arXiv.org
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The Vickrey Auction with a Single Duplicate Bidder Approximates the Optimal Revenue
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Hu, Fu
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Liaw, Christopher
,
Randhawa, Sikander
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arXiv.org
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Simple and optimal high-probability bounds for strongly-convex stochastic gradient descent
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Harvey, Nicholas J A
,
Liaw, Christopher
,
Randhawa, Sikander
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arXiv.org
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Tight Analyses for Non-Smooth Stochastic Gradient Descent
by
Harvey, Nicholas J A
,
Liaw, Christopher
,
Plan, Yaniv
,
Randhawa, Sikander
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arXiv.org
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