Tim Roughgarden

Results: 191



#Item
151Bitcoin / Cryptocurrencies / Mining pool / Reinforcement learning

Incentive Compatibility of Bitcoin Mining Pool Reward Functions Okke Schrijvers, Joseph Bonneau, Dan Boneh, and Tim Roughgarden Stanford University Abstract. In this paper we introduce a game-theoretic model for reward

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Source URL: theory.stanford.edu

Language: English - Date: 2016-02-14 00:07:23
152Hashing / Search algorithms / Bloom filter / Countmin sketch / Hash table / Hash function / Set / Universal hashing / Filter / RabinKarp algorithm / Feature hashing

CS168: The Modern Algorithmic Toolbox Lecture #2: Approximate Heavy Hitters and the Count-Min Sketch Tim Roughgarden & Gregory Valiant∗ March 30, 2016

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Source URL: theory.stanford.edu

Language: English - Date: 2016-06-04 09:49:43
153Auctions / Auction theory / Auction / Bidding / VickreyClarkeGroves auction / Generalized second-price auction

CS364B: Frontiers in Mechanism Design Lecture #11: Undominated Implementations and the Shrinking Auction∗ Tim Roughgarden† February 12, 2014

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Source URL: theory.stanford.edu

Language: English - Date: 2014-06-17 14:12:30
154Operations research / Computational complexity theory / Linear programming / Mathematical optimization / Artificial neural networks / Perceptron / Simplex algorithm / Smoothed analysis / Algorithm / Simplex / Time complexity / Polynomial

CS369N: Beyond Worst-Case Analysis Lecture #7: Smoothed Analysis∗ Tim Roughgarden† November 30,

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Source URL: theory.stanford.edu

Language: English - Date: 2014-11-07 19:36:40
155Mechanism design / Auction theory / Game theory / Auctions / Vickrey auction / Sampling / Auction / Sponsored search auction / Virtual valuation / Random-sampling mechanism / Prior-independent mechanism

CS364A: Algorithmic Game Theory Lecture #6: Simple Near-Optimal Auctions∗ Tim Roughgarden† October 9,

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Source URL: theory.stanford.edu

Language: English - Date: 2015-09-22 16:30:12
156Markov models / Decision theory / Search algorithms / Probabilistic complexity theory / Belief revision / Reinforcement learning / Minimax / Randomized algorithm

CS261: A Second Course in Algorithms Lecture #11: Online Learning and the Multiplicative Weights Algorithm∗ Tim Roughgarden† February 9, 2016

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Source URL: theory.stanford.edu

Language: English - Date: 2016-02-16 16:06:28
157

Pricing Networks with Selfish Routing∗ Richard Cole† Yevgeniy Dodis‡ Tim Roughgarden§

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Source URL: netecon.seas.harvard.edu

Language: English - Date: 2009-11-30 14:32:00
    158

    CS364A: Algorithmic Game Theory Lecture #11: Selfish Routing and the Price of Anarchy∗ Tim Roughgarden† October 28,

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    Source URL: theory.stanford.edu

    Language: English - Date: 2014-12-24 23:13:18
      159

      CS261: A Second Course in Algorithms Lecture #14: Online Bipartite Matching∗ Tim Roughgarden† February 18,

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      Source URL: theory.stanford.edu

      Language: English - Date: 2016-03-05 16:25:55
        160Game theory / Mathematics / Human behavior / Nash equilibrium / LemkeHowson algorithm / Bimatrix game / Best response / Strategy / Extensive-form game / Solution concept / Normal-form game / Epsilon-equilibrium

        Algorithmic Game Theory Edited by ´ Tardos, and Vijay Vazirani Noam Nisan, Tim Roughgarden, Eva Contents

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        Source URL: www.maths.lse.ac.uk

        Language: English - Date: 2006-11-15 07:54:45
        UPDATE