25 citations · 39 across the 4 of their papers we have counts for
4 papers
Reinforcement learning for bandwidth estimation and congestion control in real-time communications
Joyce Fang, Martin Ellis, Bin Li +11
Bandwidth estimation and congestion control for real-time communications (i.e., audio and video conferencing) remains a difficult problem, despite many years of research. Achieving…
Trustworthy Experimentation Under Telemetry Loss
Jayant Gupchup, Yasaman Hosseinkashi, Pavel Dmitriev +4
Failure to accurately measure the outcomes of an experiment can lead to bias and incorrect conclusions. Online controlled experiments (aka AB tests) are increasingly being used to…
On Design of Problem Token Questions in Quality of Experience Surveys
Jayant Gupchup, Ebrahim Beyrami, Martin Ellis +3
User surveys for Quality of Experience (QoE) are a critical source of information. In addition to the common "star rating" used to estimate Mean Opinion Score (MOS), more detailed…
Analysis of Problem Tokens to Rank Factors Impacting Quality in VoIP Applications
Jayant Gupchup, Yasaman Hosseinkashi, Martin Ellis +2
User-perceived quality-of-experience (QoE) in internet telephony systems is commonly evaluated using subjective ratings computed as a Mean Opinion Score (MOS). In such systems, whi…