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Shuchi Chawla

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Competitive Analysis Meets Stochastic Input: Secretary Problems And Prophet InequalitiesData-Driven Decision Processes Boot Camp 20222022-08-22
Algorithms assume a partly adversarial, partly stochastic input and give concrete, constant-factor guarantees: a single threshold yields a 2-approx for…
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Individual Fairness in Advertising Auctions through Inverse ProportionalityITCS 20222022-01-31
Proposes and analyzes inverse proportional allocation that enforces a multiplicative-to-additive fairness constraint called value stability while retaining…
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Pandora's Box with Correlations: Learning and ApproximationMathematics of Online Decision Making 20202020-10-23
Shows that with only sample access to an unknown joint distribution over costs it is possible to learn a partially adaptive probing policy that is provably…
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Themis: Fair and Efficient GPU Cluster SchedulingNSDI 20202020-02-25
Proposes a new finish-time fairness (Rho) metric and a two-step allocator: filter top (1−f) apps then run a partial-allocation auction that computes a…
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Timing Matters: Online Dynamics in Broadcast GamesLearning, Algorithm Design and Beyond Worst-Case Analysis2016-11-14
Broadcast broadcast-game with Shapley cost sharing can hit worst-case Nash gaps of Θ(n) but best equilibria are constant-factor. This work shows arbitrary…
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Simple Pricing Schemes for Consumers with Evolving ValuesOptimization and Decision-Making Under Uncertainty (Simons Institute, September 2016)2016-09-19
Considers a buyer who repeatedly uses an app whose value evolves stochastically and compares a simple pricing to the omniscient benchmark that extracts the…
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Revenue Maximization in Interdependent Value SettingsComplexity and Simplicity in Economics (Simons Institute workshop, 2015)2015-10-12
Shows that a simple modification—reject each bidder with constant probability (here 1/2) then run Vickrey with reserves computed from survivors’ reported…
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