activity
20182023
most citedA General Framework for Fairness in Multistakeholder Recommendations

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

collaborators

5 papers

cs.DB2023

Towards Flexibility and Robustness of LSM Trees

Andy Huynh, Harshal A. Chaudhari, Evimaria Terzi +1

Log-Structured Merge trees (LSM trees) are increasingly used as part of the storage engine behind several data systems, and are frequently deployed in the cloud. As the number of a…

cs.DB2021★ 1 cited

Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty

Andy Huynh, Harshal A. Chaudhari, Evimaria Terzi +1

Log-Structured Merge trees (LSM trees) are increasingly used as the storage engines behind several data systems, frequently deployed in the cloud. Similar to other database archite…

cs.AI2020★ 3 cited

A General Framework for Fairness in Multistakeholder Recommendations

Harshal A. Chaudhari, Sangdi Lin, Ondrej Linda

Contemporary recommender systems act as intermediaries on multi-sided platforms serving high utility recommendations from sellers to buyers. Such systems attempt to balance the obj…

cs.AI2020

Learn to Earn: Enabling Coordination within a Ride Hailing Fleet

Harshal A. Chaudhari, John W. Byers, Evimaria Terzi

The problem of optimizing social welfare objectives on multi sided ride hailing platforms such as Uber, Lyft, etc., is challenging, due to misalignment of objectives between driver…

cs.SI2018

Markov Chain Monitoring

Harshal A. Chaudhari, Michael Mathioudakis, Evimaria Terzi

In networking applications, one often wishes to obtain estimates about the number of objects at different parts of the network (e.g., the number of cars at an intersection of a roa…