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Related papers: Oracle-Augmented Prophet Inequalities

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In our problem, we are given access to a number of sequences of nonnegative i.i.d. random variables, whose realizations are observed sequentially. All sequences are of the same finite length. The goal is to pick one element from each…

Statistics Theory · Mathematics 2024-02-06 Aristomenis Tsopelakos , Olgica Milenkovic

In the single stock trading prophet problem formulated by Correa et al.\ (2023), an online algorithm observes a sequence of prices of a stock. At each step, the algorithm can either buy the stock by paying the current price if it doesn't…

Data Structures and Algorithms · Computer Science 2025-04-21 Surbhi Rajput , Ashish Chiplunkar , Rohit Vaish

This paper studies incomplete-information games in which an information provider, an oracle, publicly discloses information to the players. One oracle is said to dominate another if, in every game, it can replicate the equilibrium outcomes…

Theoretical Economics · Economics 2025-11-13 David Lagziel , Ehud Lehrer , Tao Wang

The prophet secretary problem is a combination of the prophet inequality and the secretary problem, where elements are drawn from known independent distributions and arrive in uniformly random order. In this work, we design 1) a…

Data Structures and Algorithms · Computer Science 2024-11-05 Ziyun Chen , Zhiyi Huang , Dongchen Li , Zhihao Gavin Tang

We analyze incomplete-information games where an oracle publicly shares information with players. One oracle dominates another if, in every game, it can match the set of equilibrium outcomes induced by the latter. Distinct characterizations…

Theoretical Economics · Economics 2026-05-19 David Lagziel , Ehud Lehrer , Tao Wang

Hill and Kertz studied the prophet inequality on iid distributions [The Annals of Probability 1982]. They proved a theoretical bound of $1-\frac{1}{e}$ on the approximation factor of their algorithm. They conjectured that the best…

Data Structures and Algorithms · Computer Science 2017-06-01 Melika Abolhasani , Soheil Ehsani , Hosein Esfandiari , MohammadTaghi Hajiaghayi , Robert Kleinberg , Brendan Lucier

We initiate the study of incentive-compatible forecasting competitions in which multiple forecasters make predictions about one or more events and compete for a single prize. We have two objectives: (1) to incentivize forecasters to report…

Computer Science and Game Theory · Computer Science 2021-09-09 Jens Witkowski , Rupert Freeman , Jennifer Wortman Vaughan , David M. Pennock , Andreas Krause

Suppose a customer is faced with a sequence of fluctuating prices, such as for airfare or a product sold by a large online retailer. Given distributional information about what price they might face each day, how should they choose when to…

Data Structures and Algorithms · Computer Science 2019-10-10 Hossein Esfandiari , MohammadTaghi HajiAghayi , Brendan Lucier , Michael Mitzenmacher

In this paper, we investigate the optimal strategies in the Werewolf Game-a widely played strategic social deduction game involving two opposing factions-from a game-theoretic perspective. We consider two scenarios: the game without a…

General Economics · Economics 2025-10-20 ST Wang

Online contention resolution schemes (OCRSs) were proposed by Feldman, Svensson, and Zenklusen as a generic technique to round a fractional solution in the matroid polytope in an online fashion. It has found applications in several…

Data Structures and Algorithms · Computer Science 2018-06-26 Euiwoong Lee , Sahil Singla

The secretary and the prophet inequality problems are central to the field of Stopping Theory. Recently, there has been a lot of work in generalizing these models to multiple items because of their applications in mechanism design. The most…

Data Structures and Algorithms · Computer Science 2018-03-20 Soheil Ehsani , MohammadTaghi Hajiaghayi , Thomas Kesselheim , Sahil Singla

We investigate the connection between interference and computational power within the operationally defined framework of generalised probabilistic theories. To compare the computational abilities of different theories within this framework…

Quantum Physics · Physics 2018-07-30 Howard Barnum , Ciarán M. Lee , John H. Selby

We present several new examples of speed-ups obtainable by quantum algorithms in the context of property testing. First, motivated by sampling algorithms, we consider probability distributions given in the form of an oracle $f:[n]\to[m]$.…

Quantum Physics · Physics 2010-05-13 Sourav Chakraborty , Eldar Fischer , Arie Matsliah , Ronald de Wolf

In this paper,we consider a high-dimensional statistical estimation problem in which the the number of parameters is comparable or larger than the sample size. We present a unified analysis of the performance guarantees of exponential…

Statistics Theory · Mathematics 2017-10-04 Tung Duy Luu , Jalal Fadili , Christophe Chesneau

We study single-sample prophet inequalities (SSPIs), i.e., prophet inequalities where only a single sample from each prior distribution is available. Besides a direct, and optimal, SSPI for the basic single choice problem [Rubinstein et…

The aim of this paper is to provide some theoretical understanding of quasi-Bayesian aggregation methods non-negative matrix factorization. We derive an oracle inequality for an aggregated estimator. This result holds for a very general…

Machine Learning · Statistics 2018-06-27 Pierre Alquier , Benjamin Guedj

Chances of a gambler are always lower than chances of a casino in the case of an ideal, mathematically perfect roulette, if the capital of the gambler is limited and the minimum and maximum allowed bets are limited by the casino. However, a…

General Finance · Quantitative Finance 2016-02-23 A. V. Kavokin , A. S. Sheremet , M. Yu. Petrov

We analyze general model selection procedures using penalized empirical loss minimization under computational constraints. While classical model selection approaches do not consider computational aspects of performing model selection, we…

Machine Learning · Statistics 2012-08-02 Alekh Agarwal , Peter L. Bartlett , John C. Duchi

Classical game theory treats players as special---a description of a game contains a full, explicit enumeration of all players---even though in the real world, "players" are no more fundamentally special than rocks or clouds. It isn't…

Artificial Intelligence · Computer Science 2015-08-19 Benja Fallenstein , Jessica Taylor , Paul F. Christiano

Traditional online algorithms encapsulate decision making under uncertainty, and give ways to hedge against all possible future events, while guaranteeing a nearly optimal solution as compared to an offline optimum. On the other hand,…

Data Structures and Algorithms · Computer Science 2020-08-24 Thodoris Lykouris , Sergei Vassilvitskii
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