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07/14/2023
Equilibrium Analysis of Customer Attraction Games
We introduce a game model called "customer attraction game" to demonstra...
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04/26/2023
Learning to Bid in Repeated First-Price Auctions with Budgets
Budget management strategies in repeated auctions have received growing ...
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01/27/2023
Are Equivariant Equilibrium Approximators Beneficial?
Recently, remarkable progress has been made by approximating Nash equili...
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11/25/2022
On the Re-Solving Heuristic for (Binary) Contextual Bandits with Knapsacks
In the problem of (binary) contextual bandits with knapsacks (CBwK), the...
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11/03/2022
Sybil-Proof Diffusion Auction in Social Networks
A diffusion auction is a market to sell commodities over a social networ...
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10/13/2022
Competition among Parallel Contests
We investigate the model of multiple contests held in parallel, where ea...
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07/11/2022
Dynamic Budget Throttling in Repeated Second-Price Auctions
Throttling is one of the most popular budget control methods in today's ...
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05/29/2022
No-regret Learning in Repeated First-Price Auctions with Budget Constraints
Recently the online advertising market has exhibited a gradual shift fro...
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04/04/2022
Characterizing Parametric and Convergence Stability in Nonconvex and Nonsmooth Optimizations: A Geometric Approach
We consider stability issues in minimizing a continuous (probably parame...
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03/31/2022
Budget-Constrained Auctions with Unassured Priors
In today's online advertising markets, it is common for an advertiser to...
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02/17/2022
Insightful Mining Equilibria
The selfish mining attack, arguably the most famous game-theoretic attac...
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02/04/2022
ABSNFT: Securitization and Repurchase Scheme for Non-Fungible Tokens Based on Game Theoretical Analysis
The Non-Fungible Token (NFT) is viewed as one of the important applicati...
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01/29/2022
A Context-Integrated Transformer-Based Neural Network for Auction Design
One of the central problems in auction design is developing an incentive...
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12/31/2021
An Efficient and Robust Committee Structure for Sharding Blockchain
Nowadays, sharding is deemed as a promising way to save traditional bloc...
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10/08/2021
Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions
Understanding the convergence properties of learning dynamics in repeate...
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08/17/2021
Learning to Compute Approximate Nash Equilibrium for Normal-form Games
In this paper, we propose a general meta learning approach to computing ...
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07/28/2021
From Monopoly to Competition: Optimal Contests Prevail
We study competition among contests in a general model that allows for a...
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07/03/2021
On Tightness of the Tsaknakis-Spirakis Algorithm for Approximate Nash Equilibrium
Finding the minimum approximate ratio for Nash equilibrium of bi-matrix ...
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10/12/2020
A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling
The Empirical Revenue Maximization (ERM) is one of the most important pr...
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02/17/2020
An Efficient Permissioned Blockchain Model with Provable Reputation Mechanism
Permissioned blockchain, in which only known nodes are allowed to partic...
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01/19/2020
CycLedger: A Scalable and Secure Parallel Protocol for Distributed Ledger via Sharding
Traditional public distributed ledgers have not been able to scale-out w...
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10/26/2019
Finding Mixed Strategy Nash Equilibrium for Continuous Games through Deep Learning
Nash equilibrium has long been a desired solution concept in multi-playe...
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11/26/2018
A Policy Gradient Method with Variance Reduction for Uplift Modeling
Uplift modeling aims to directly model the incremental impact of a treat...
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11/19/2018
Visual-Texual Emotion Analysis with Deep Coupled Video and Danmu Neural Networks
User emotion analysis toward videos is to automatically recognize the ge...
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08/23/2018