Krishna Acharya

PhD Candidate, Machine Learning
Dept. of Industrial & Systems Engineering
Georgia Institute of Technology

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About Me

I'm a Ph.D. Candidate in Machine Learning at Georgia Tech, 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 Fairness, Recommender systems and Differential Privacy.

I have industry experience as an Applied Science intern with Amazon in the Personalized recommendations team, and as a Machine learning intern at Keysight in the AI explainability team.

In my free time, I enjoy hiking, climbing 🧗 and board games.

Recent News

Publications

Preprints

  1. Multi-Agent Performative Prediction Beyond the Insensitivity Assumption: A Case Study for Mortgage Competition
    Guanghui Wang, Krishna Acharya, Lokranjan Lakshmikanthan, Vidya Muthukumar, Juba Ziani.

  2. Personalized Differential Privacy for Ridge Regression
    Krishna Acharya, Franziska Boenisch, Rakshit Naidu, Juba Ziani
    Privacy Regulation and Protection workshop at ICLR 2024

Conference and Journal Articles

  1. Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems
    Krishna Acharya, Varun Vangala, Jingyan Wang, Juba Ziani
    Transactions on Machine Learning Research (TMLR), 2025

  2. Improving Minimax Group Fairness in Sequential Recommendation
    Krishna Acharya, David Wardrope, Timos Korres, Aleksandr Petrov, Anders Uhrenholt
    European Conference on Information Retrieval (ECIR 2025)

  3. One Shot Inverse Reinforcement Learning for Stochastic Linear Bandits
    Etash Kumar Guha, Jim Thannikary James, Krishna Acharya, Vidya Muthukumar, Ashwin Pananjady
    Uncertainty in Artificial Intelligence (UAI 2024)

  4. Oracle Efficient Algorithms for Groupwise Regret
    Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani
    International Conference on Learning Representations (ICLR 2024)

  5. Wealth Dynamics Over Generations: Analysis and Interventions
    Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani
    Secure and Trustworthy Machine Learning (SaTML 2023)

  6. 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
    Wireless Communications and Networking Conference (WCNC 2019)

Theses

  1. Online Learning Algorithms for Fair Ad Auctions
    Krishna Acharya
    Masters Thesis, École Normale Supérieure de Lyon

Manuscripts

  1. Approximation of Banzhaf indices and its application to voting games
    Krishna Acharya, Himadri Mukherjee, Jajati Keshari Sahoo

Internships

  1. Applied Science Intern, Amazon, Personalized recommenders (2024)
  2. Machine Learning Intern, Keysight, AI Explainability (2023)
  3. Research Intern, Laboratoire d’informatique de Grenoble (2020)
  4. Research Intern, Laboratoire informatique d’Avignon (2018)

Teaching

  1. TA, ISyE 4803 : Online Learning and Decision Making (Spring 2024)
  2. TA, ISyE 2027 : Probability with Applications (Spring 2022)
  3. TA, ISyE 3133 : Engineering Optimization (Fall 2021)

Academic Service

Reviewer: ICML, AAAI, ICLR, KDD, NeurIPS

Awards

  1. Kiplinger Fellowship (Fall 2021, Spring 2022)
  2. University of Lyon Scholarship of Excellence (Fall 2019, Spring 2020)
  3. Merit Scholar - BITS Pilani (2015, 2016)