I’m a Data Science Postdoctoral Fellow at Stanford University, where I’m hosted by Emmanuel Candès in Statistics.
I obtained my PhD in Electrical Engineering and Computer Sciences at UC Berkeley in 2023, where I was advised by Moritz Hardt and Michael Jordan. I spent the summer of 2020 interning at Apple AI Research, hosted by Vitaly Feldman. My PhD research was generously supported by an Apple PhD Fellowship in AI/ML. Before starting my PhD, I completed my BEng in Electrical and Computer Engineering at the University of Novi Sad in Serbia, where I was advised by Dragana Bajovic. During undergrad I spent a summer at Caltech, working with Babak Hassibi.
email: “firstname”.”lastname”@stanford.edu
office: 116 Sequoia Hall
(* denotes equal contribution, α-β denotes alphabetical ordering)
Plug-in Performative Optimization
L. Lin, T. Zrnic
Preprint arxiv
Prediction-Powered Inference
(α-β) A. N. Angelopoulos, S. Bates, C. Fannjiang, M. I. Jordan, T. Zrnic
Preprint arxiv code
Locally Simultaneous Inference
T. Zrnic, W. Fithian
Preprint arxiv talk
Presented at the International Conference on Multiple Comparisons Procedures (MCP) 2022
Post-Selection Inference via Algorithmic Stability
T. Zrnic, M. I. Jordan
Annals of Statistics (AoS) 2023+ arxiv talk
Algorithmic Collective Action in Machine Learning
(α-β) M. Hardt, E. Mazumdar, C. Mendler-Dünner, T. Zrnic
International Conference on Machine Learning (ICML) 2023 arxiv talk
Valid Inference after Causal Discovery
P. Gradu*, T. Zrnic*, Y. Wang, M. I. Jordan
Preprint arxiv
A Note on Zeroth-Order Optimization on the Simplex
T. Zrnic, E. Mazumdar
Note arxiv
Regret Minimization with Performative Feedback
M. Jagadeesan, T. Zrnic, C. Mendler-Dünner
International Conference on Machine Learning (ICML) 2022 ICML arxiv
Presented at the Symposium on Foundations of Responsible Computing (FORC) 2022
Private Prediction Sets
A. N. Angelopoulos*, S. Bates*, T. Zrnic*, M. I. Jordan
Harvard Data Science Review (HDSR) 2022 HDSR arxiv code
Who Leads and Who Follows in Strategic Classification?
T. Zrnic*, E. Mazumdar*, S. S. Sastry, M. I. Jordan
Conference on Neural Information Processing Systems (NeurIPS) 2021 NeurIPS arxiv
Individual Privacy Accounting via a Rényi Filter
(α-β) V. Feldman, T. Zrnic
Conference on Neural Information Processing Systems (NeurIPS) 2021 NeurIPS arxiv short talk long talk
Presented at the Symposium on Foundations of Responsible Computing (FORC) 2021
Outside the Echo Chamber: Optimizing the Performative Risk
J. Miller*, J. C. Perdomo*, T. Zrnic*
International Conference on Machine Learning (ICML) 2021 ICML arxiv blog post
Presented at the Symposium on Foundations of Responsible Computing (FORC) 2021
Asynchronous Online Testing of Multiple Hypotheses
T. Zrnic, A. Ramdas, M. I. Jordan
Journal of Machine Learning Research (JMLR) 2021 JMLR arxiv blog post code online FDR package
Presented at the International Conference on Multiple Comparisons Procedures (MCP) 2019
Stochastic Optimization for Performative Prediction
C. Mendler-Dünner*, J. C. Perdomo*, T. Zrnic*, M. Hardt
Conference on Neural Information Processing Systems (NeurIPS) 2020 NeurIPS arxiv blog post code
Performative Prediction
J. C. Perdomo*, T. Zrnic*, C. Mendler-Dünner, M. Hardt
International Conference on Machine Learning (ICML) 2020 ICML arxiv blog post talk code
The Power of Batching in Multiple Hypothesis Testing
T. Zrnic, D. L. Jiang, A. Ramdas, M. I. Jordan
International Conference on Artificial Intelligence and Statistics (AISTATS) 2020 AISTATS arxiv talk code
Natural Analysts in Adaptive Data Analysis
T. Zrnic, M. Hardt
International Conference on Machine Learning (ICML) 2019 ICML arxiv talk
SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate
A. Ramdas, T. Zrnic, M. J. Wainwright, M. I. Jordan
International Conference on Machine Learning (ICML) 2018 ICML arxiv code
Tensor-Based Crowdsourced Clustering via Triangle Queries
R. K. Vinayak, T. Zrnic, B. Hassibi
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2017 IEEE
Improving Location of Recording Classification Using Electric Network Frequency (ENF) Analysis
Z. Saric, A. Zunic, T. Zrnic, M. Knezevic, D. Despotovic, T. Delic
IEEE International Symposium on Intelligent Systems and Informatics (SISY) 2016 IEEE
Prediction and Statistical Inference in Feedback Loops
T. Zrnic
UC Berkeley EECS