About Me
I'm a Ph.D. Candidate in Machine Learning at Georgia Tech, where I'm fortunate to be advised by Prof. Juba Ziani. Before Georgia Tech, I completed my M.S. and B.S in Computer Science at ENS de Lyon
and BITS-Pilani Goa.
I'm passionate about Trustworthy ML: algorithms that preserve privacy, are fair to subpopulations and make good sequential decisions; my research is in
Differential privacy(DP), Fairness and Sequential Decision Making. I'm also excited about DP finetuning for LLMs, generation of private synthetic data, and robust recommender systems.
In my free time, I enjoy hiking, climbing 🧗 and board games.
Recent News
Publications
Preprints
- Personalized Differential Privacy for Ridge Regression
Krishna Acharya, Franziska Boenisch, Rakshit Naidu, Juba Ziani
Privacy Regulation and Protection workshop at ICLR 2024
- Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems
Krishna Acharya, Varun Vangala, Jingyan Wang, Juba Ziani
Conference Articles
- Oracle Efficient Algorithms for Groupwise Regret
Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani
ICLR 2024
- Wealth Dynamics Over Generations: Analysis and Interventions
Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani
SaTML 2023
- Analysis of QoE for Adaptive Video Streaming over Wireless Networks with User Abandonment Behavior.
Rachid El-Azouzi, Krishna Acharya, Sudheer Poojary, Albert Sunny, Majed Haddad, Eitan Altman, Dimitrios Tsilimantos, Stefan Valentin
WCNC 2019
Workshop Articles
- Oracle Efficient Algorithms for Groupwise Regret
Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani
Optimization for Machine Learning(OPT) workshop at NeurIPS 2023 .
Theses
- Online Learning Algorithms for Fair Ad Auctions
Krishna Acharya
Master Thesis, École Normale Supérieure de Lyon
Manuscripts
- Approximation of Banzhaf indices and its application to voting games
Krishna Acharya, Himadri Mukherjee, Jajati Keshari Sahoo
Internships
- Machine Learning Intern, Keysight Technologies (Summer 2023)
- Research Intern, Laboratoire d’informatique de Grenoble (Spring 2020)
- Research Intern, Laboratoire informatique d’Avignon (Fall 2018)
Teaching
- TA, ISyE 4803 : Online Learning and Decision Making (Spring 2024)
- TA, ISyE 2027 : Probability with Applications (Spring 2022)
- TA, ISyE 3133 : Engineering Optimization (Fall 2021)
Academic Service
Reviewer: AAAI
Awards
- Kiplinger Fellowship (Fall 2021, Spring 2022)
- University of Lyon Scholarship of Excellence (Fall 2019, Spring 2020)
- Merit Scholar - BITS Pilani (2015, 2016)