activity
20182026
most citedChaos of Learning Beyond Zero-sum and Coordination via Game Decompositions

3 citations · 4 across the 5 of their papers we have counts for

collaborators

12 papers

cs.GT2026

Optimal Pricing with Unreliable Signals

Zhihao Gavin Tang, Yixin Tao, Shixin Wang

We study a single-buyer pricing problem with unreliable side information, motivated by the increasing use of AI-assisted decision-making and LLM-based predictions. The seller obser…

cs.GT2025

Proportional Response Dynamics in Gross Substitutes Markets

Yun Kuen Cheung, Richard Cole, Yixin Tao

Proportional response is a well-established distributed algorithm which has been shown to converge to competitive equilibria in both Fisher and Arrow-Debreu markets, for various su…

math.OC2023

A First Order Method for Linear Programming Parameterized by Circuit Imbalance

Richard Cole, Christoph Hertrich, Yixin Tao +1

Various first order approaches have been proposed in the literature to solve Linear Programming (LP) problems, recently leading to practically efficient solvers for large-scale LPs…

cs.GT2021

Approximating Equilibrium under Constrained Piecewise Linear Concave Utilities with Applications to Matching Markets

Jugal Garg, Yixin Tao, László A. Végh

We study the equilibrium computation problem in the Fisher market model with constrained piecewise linear concave (PLC) utilities. This general class captures many well-studied spe…

cs.GT20211 cited

Selecting a Match: Exploration vs Decision

Ishan Agarwal, Richard Cole, Yixin Tao

In a dynamic matching market, such as a marriage or job market, how should agents balance accepting a proposed match with the cost of continuing their search? We consider this prob…

cs.GT20203 cited

Chaos of Learning Beyond Zero-sum and Coordination via Game Decompositions

Yun Kuen Cheung, Yixin Tao

Machine learning processes, e.g. ''learning in games'', can be viewed as non-linear dynamical systems. In general, such systems exhibit a wide spectrum of behaviors, ranging from s…