activity
20112022
most citedNonhomogeneous Place-Dependent Markov Chains, Unsynchronised AIMD, and Network Utility Maximization

15 citations · 83 across the 22 of their papers we have counts for

collaborators

24 papers

math.DS2022★ 3 cited

On Unique Ergodicity Of Coupled AIMD Flows

Pietro Ferraro, Jia Yuan Yu, Ramen Ghosh +4

The AIMD algorithm, which underpins the Transmission Control Protocol (TCP) for transporting data packets in communication networks, is perhaps the most successful control algorith…

cs.CL2022

Reward Modeling for Mitigating Toxicity in Transformer-based Language Models

Farshid Faal, Ketra Schmitt, Jia Yuan Yu

Transformer-based language models are able to generate fluent text and be efficiently adapted across various natural language generation tasks. However, language models that are pr…

math.OC2021

Multi-resource allocation for federated settings: A non-homogeneous Markov chain model

Syed Eqbal Alam, Fabian Wirth, Jia Yuan Yu

In a federated setting, agents coordinate with a central agent or a server to solve an optimization problem in which agents do not share their information with each other. Wirth an…

stat.ME2021★ 3 cited

Bias-Corrected Peaks-Over-Threshold Estimation of the CVaR

Dylan Troop, Frédéric Godin, Jia Yuan Yu

The conditional value-at-risk (CVaR) is a useful risk measure in fields such as machine learning, finance, insurance, energy, etc. When measuring very extreme risk, the commonly us…

math.OC2020

The Convergence of Finite-Averaging of AIMD for Distributed Heterogeneous Resource Allocations

Syed Eqbal Alam, Fabian Wirth, Jia Yuan Yu +1

In several social choice problems, agents collectively make decisions over the allocation of multiple divisible and heterogeneous resources with capacity constraints to maximize ut…

stat.ML2019★ 2 cited

Risk-Averse Action Selection Using Extreme Value Theory Estimates of the CVaR

Dylan Troop, Frédéric Godin, Jia Yuan Yu

In a wide variety of sequential decision making problems, it can be important to estimate the impact of rare events in order to minimize risk exposure. A popular risk measure is th…