CV

Education

• Ph.D in Version Control Theory, GitHub University, 2018 (expected)
• M.S. in Jekyll, GitHub University, 2014
• B.S. in GitHub, GitHub University, 2012

Work experience

• Spring 2024: Academic Pages Collaborator
  • Github University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints

Tony Cai, Abhinav Chakraborty, Lasse Vuursteen. (2024). "Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints." arXiv preprint arXiv:2412.18992v2.

Doubly Robust and Computationally Efficient High-Dimensional Variable Selection

Abhinav Chakraborty, Jeffrey Zhang, Eugene Katsevich. (2024). "Doubly Robust and Computationally Efficient High-Dimensional Variable Selection." arXiv preprint arXiv:2409.09512.

Minimax And Adaptive Transfer Learning for Nonparametric Classification under Distributed Differential Privacy Constraints

Arnab Auddy, T. Tony Cai, Abhinav Chakraborty. (2024). "Minimax And Adaptive Transfer Learning for Nonparametric Classification under Distributed Differential Privacy Constraints." arXiv preprint arXiv:2406.20088.

Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints

T. Tony Cai, Abhinav Chakraborty, Lasse Vuursteen. (2024). "Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints." arXiv preprint arXiv:2406.06755.

Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests

T. Tony Cai, Abhinav Chakraborty, Lasse Vuursteen. (2024). "Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests." arXiv preprint arXiv:2406.06749.

PriME: Privacy-aware Membership Profile Estimation in Networks

Abhinav Chakraborty, Sayak Chatterjee, Sagnik Nandy. (2024). "PriME: Privacy-aware Membership Profile Estimation in Networks." arXiv preprint arXiv:2406.02794.

Reconciling model-X and doubly robust approaches to conditional independence testing

Ziang Niu, Abhinav Chakraborty, Oliver Dukes, Eugene Katsevich. (2024). "Reconciling model-X and doubly robust approaches to conditional independence testing." The Annals of Statistics, 52(3), 895-921.

PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model

Abhinav Chakraborty, Anirban Chatterjee, Abhinandan Dalal. (2024). "PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model." International Conference on Artificial Intelligence and Statistics, PMLR, 2692-2700.

Optimal Differentially Private Ranking from Pairwise Comparisons

T. Tony Cai, Abhinav Chakraborty, Yichen Wang. (2023). "Optimal Differentially Private Ranking from Pairwise Comparisons.".

High Dimensional PCA: A New Model Selection Criterion

Abhinav Chakraborty, Soumendu Sundar Mukherjee, Arijit Chakrabarti. (2020). "High Dimensional PCA: A New Model Selection Criterion." arXiv preprint arXiv:2011.04470.

Talks

Conference Proceeding talk 3 on Relevant Topic in Your Field

March 01, 2014

Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA

Talk 2 on Relevant Topic in Your Field

February 01, 2014

Talk at London School of Testing, London, UK

Tutorial 1 on Relevant Topic in Your Field

March 01, 2013

Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA

Talk 1 on Relevant Topic in Your Field

March 01, 2012

Talk at UC San Francisco, Department of Testing, San Francisco, California

Teaching

Service and leadership

• Currently signed in to 43 different slack teams