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Complexity and Simplicity in Economics (Simons Institute workshop, 2015)

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The Emergent Structure of Simple Behaviors in Complex NetworksNicole Immorlica51m
Co-evolving network-plus-behavior models yield concrete, testable claims: a bounded-outdegree PD model with directed sponsored links (outdegree ≤ K)…
Talk
Revenue Maximization in Interdependent Value SettingsShuchi Chawla33m
Shows that a simple modification—reject each bidder with constant probability (here 1/2) then run Vickrey with reserves computed from survivors’ reported…
Talk
Timing “Versus” Matching: Thickness and Information in Dynamic MarketsMohammad Akbarpour34m
Model uses Poisson arrivals (rate m), independent edges with probability p and D = m·p as the expected degree, and agents hit an exponential “critical” clock…
Talk
On Maximizing Revenue for Multi-Item AuctionsAndrew Yao38m
Proves a concrete constant-factor approximation for revenue in independent multi-item, multi-buyer auctions by decomposing the problem via an N-to-one…
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Simple Mechanisms for a (Sub)Additive BuyerMatt Weinberg35m
Shows that for independent-item distributions the better of selling items separately or as one bundle gives a six approximation for additive buyers and a…
Talk
Algorithmic Bayesian Mechanism DesignYang Cai35m
Provides an algorithmic framework that computes exact Bayesian revenue-optimal mechanisms for multi-item additive bidders (items may be correlated) by solving…
Talk
The Substitution Metric and the Performance of Clock AuctionsPaul Milgrom49m
Design for the U.S. incentive auction treats market clearing as a hard production problem: NP‑complete channel‑assignment (graph‑coloring/SAT with ~600,000…
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Privacy, Substitutes, and Optimization in Deferred-Acceptance Clock AuctionsIlya Segal33m
Deferred-acceptance clock auctions are presented as a practical design: implemented for the FCC’s reverse incentive auction with ~2,500 stations and about…
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Obviously Strategy-Proof MechanismsShengwu Li33m
Proposes obviously strategy-proof (OSP) as a stricter concept than weak dominance: a strategy is OSP if at any earliest divergence point the deviation’s best…
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Non-Revelation Mechanism Design: Inference, Optimization, and ApproximationJason Hartline45m
Shows that the first-price position auction has a unique symmetric Bayes–Nash equilibrium that is efficient, and uses the revenue equivalence/payment-identity…
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Econometrics for Learning AgentsVasilis Syrgkanis27m
Claim: bidders are best-modeled as vanishing-regret learning agents, not Nash equilibria, so values can be inferred from bid histories. Method: convert regret…
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Smoothness and Pricing: Near-Optimal Outcomes in Markets Large and SmallBrendan Lucier47m
Shows that simple posted prices achieve a constant (about 1/2) of optimal expected welfare for Bayes settings with XOS/submodular valuations by reading prices…
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Complexity in AGT Update: Nash Approximability and Simultaneous AuctionsChristos Papadimitriou35m
Christos Papadimitriou, UC Berkeley Complexity and Simplicity in Economics https://simons.berkeley.edu/talks/christos-papadimitriou-10-14
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Competition and Simple AuctionsMallesh M. Pai33m
Shows necessary conditions for a seller’s best response when competing against M−1 rivals who commit to second‑price, zero‑reserve auctions: optimality…
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Consensus Expectations and ConventionsBen Golub48m
Shows that iterated expectations x_i^n (taken as Cesàro averages) converge to a nonrandom consensus under a joint connectedness condition and that consensus…
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Dynamics of Evolving Social GroupsSigal Oren29m
Model uses opinions in [0,1], two uniformly drawn candidates per round, members vote for the closer candidate (homophily). Under consensus rule the…
Talk
Decision Making at Scale: Algorithms, Mechanisms, and PlatformsAshish Goel37m
An algorithm called triadic consensus repeatedly samples random triads, asks each triad to pick its one-median, replaces the three sampled participants with…
Talk
First Price Auctions with General Information Structures: Implications for Bidding and RevenueBen Brooks46m
Derives tight worst‑case bounds on seller revenue in first‑price auctions when the information structure is unknown, proving a global lower bound and…
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The Query Complexity of Correlated EquilibriaSergiu Hart27m
Correlated equilibria with two actions per player admit randomized algorithms find ε-CE with poly(n) queries, produced by regret‑based dynamics that run O((log…
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On the Borders of Border’s TheoremNoam Nisan35m
Explains when the Border theorem gives a full reduced-form LP characterization and when it cannot be extended: shows computing exact optimal revenue for a…
Talk
Strong Duality for a Multiple Good MonopolistChristos Tzamos32m
Proves strong duality for the single-buyer multi-item revenue problem by mapping the primal (maximize a convex 1-Lipschitz utility functional) to an…
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Robustness and Separation in Multidimensional Mechanism DesignGabriel Carroll32m
Claim: when only marginal type distributions are known and correlation is unknown, the worst-case revenue guarantee equals the sum of single-item optimal…
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Selling ExperimentsDirk Bergemann48m
Model frames information sales as Blackwell experiments, seller maximizes revenue subject to incentive and participation constraints by offering a menu of…
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The Sample Complexity of Revenue MaximizationTim Roughgarden35m
Proposes using the statistical learning notion pseudo-dimension to measure mechanism complexity and shows low pseudo-dimension implies polynomial sample…
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How Well Do Prices Coordinate MarketsAaron Roth33m
Price vectors are tested as coordinators: minimal Walrasian prices can leave many buyers indifferent, so a genericity condition (valuations linearly…
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Multi-dimensional Virtual Values and Second-degree Price DiscriminationNima Haghpanah34m
Claims that posting a single price for the favorite outcome is revenue-optimal whenever the high-value and discount factor are positively correlated…
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Computational Efficiency Requires Simple TaxationShahar Dobzinski35m
Main claim: for broad multi-parameter domains the taxation indexing complexity ≤ communication complexity + 1, so the number of different menus a truthful…
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