Quintin Fettes

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 6

Top Topics

Reinforcement Learning

Dynamic Resource Allocation

Top Venues

IEEE Trans. Computers

Publications

Aditya Srinivas Timmaraju, Mehdi Mashayekhi, Mingliang Chen, Qi Zeng, Quintin Fettes, Wesley Cheung, Yihan Xiao, Manojkumar Rangasamy Kannadasan, Pushkar Tripathi, Sean Gahagan, Miranda Bogen, Rob Roudani
Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning. CoRR (2023)
Aditya Srinivas Timmaraju, Mehdi Mashayekhi, Mingliang Chen, Qi Zeng, Quintin Fettes, Wesley Cheung, Yihan Xiao, Manojkumar Rangasamy Kannadasan, Pushkar Tripathi, Sean Gahagan, Miranda Bogen, Rob Roudani
Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning. KDD (2023)
Quintin Fettes, Avinash Karanth, Razvan C. Bunescu, Brandon Beckwith, Sreenivas Subramoney
Reclaimer: A Reinforcement Learning Approach to Dynamic Resource Allocation for Cloud Microservices. CoRR (2023)
Quintin Fettes, Avinash Karanth, Razvan C. Bunescu, Ahmed Louri, Kyle Shiflett
Hardware-Level Thread Migration to Reduce On-Chip Data Movement Via Reinforcement Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (11) (2020)
Quintin Fettes, Mark Clark, Razvan C. Bunescu, Avinash Karanth, Ahmed Louri
Dynamic Voltage and Frequency Scaling in NoCs With Supervised and Reinforcement Learning Techniques. Computer 52 (9) (2019)
Quintin Fettes, Mark Clark, Razvan C. Bunescu, Avinash Karanth, Ahmed Louri
Dynamic Voltage and Frequency Scaling in NoCs with Supervised and Reinforcement Learning Techniques. IEEE Trans. Computers 68 (3) (2019)