Tijana Zrnic

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 32

Top Topics

Hypothesis Test

Statistical Inference

Individual Privacy

Stochastic Optimization

Top Venues

Publications

Tijana Zrnic
A Note on the Prediction-Powered Bootstrap. CoRR (2024)
Tijana Zrnic, Emmanuel J. Candès
Active Statistical Inference. CoRR (2024)
Licong Lin, Tijana Zrnic
Plug-in Performative Optimization. CoRR (2023)
Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner, Tijana Zrnic
Algorithmic Collective Action in Machine Learning. ICML (2023)
Anastasios N. Angelopoulos, Stephen Bates, Clara Fannjiang, Michael I. Jordan, Tijana Zrnic
Prediction-Powered Inference. CoRR (2023)
Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner, Tijana Zrnic
Algorithmic Collective Action in Machine Learning. CoRR (2023)
Anastasios N. Angelopoulos, John C. Duchi, Tijana Zrnic
PPI++: Efficient Prediction-Powered Inference. CoRR (2023)
Tijana Zrnic, Emmanuel J. Candès
Cross-Prediction-Powered Inference. CoRR (2023)
Meena Jagadeesan, Tijana Zrnic, Celestine Mendler-Dünner
Regret Minimization with Performative Feedback. CoRR (2022)
Paula Gradu, Tijana Zrnic, Yixin Wang, Michael I. Jordan
Valid Inference after Causal Discovery. CoRR (2022)
Tijana Zrnic, Eric Mazumdar
A Note on Zeroth-Order Optimization on the Simplex. CoRR (2022)
Meena Jagadeesan, Tijana Zrnic, Celestine Mendler-Dünner
Regret Minimization with Performative Feedback. ICML (2022)
Anastasios N. Angelopoulos, Stephen Bates, Tijana Zrnic, Michael I. Jordan
Private Prediction Sets. CoRR (2021)
John P. Miller, Juan C. Perdomo, Tijana Zrnic
Outside the Echo Chamber: Optimizing the Performative Risk. ICML (2021)
Tijana Zrnic, Aaditya Ramdas, Michael I. Jordan
Asynchronous Online Testing of Multiple Hypotheses. J. Mach. Learn. Res. 22 (2021)
Tijana Zrnic, Eric Mazumdar, S. Shankar Sastry, Michael I. Jordan
Who Leads and Who Follows in Strategic Classification? CoRR (2021)
Vitaly Feldman, Tijana Zrnic
Individual Privacy Accounting via a Rényi Filter. NeurIPS (2021)
Tijana Zrnic, Eric Mazumdar, S. Shankar Sastry, Michael I. Jordan
Who Leads and Who Follows in Strategic Classification? NeurIPS (2021)
John P. Miller, Juan C. Perdomo, Tijana Zrnic
Outside the Echo Chamber: Optimizing the Performative Risk. CoRR (2021)
Vitaly Feldman, Tijana Zrnic
Individual Privacy Accounting via a Renyi Filter. CoRR (2020)
Juan C. Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, Moritz Hardt
Performative Prediction. ICML (2020)
Juan C. Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, Moritz Hardt
Performative Prediction. CoRR (2020)
Celestine Mendler-Dünner, Juan C. Perdomo, Tijana Zrnic, Moritz Hardt
Stochastic Optimization for Performative Prediction. CoRR (2020)
Celestine Mendler-Dünner, Juan C. Perdomo, Tijana Zrnic, Moritz Hardt
Stochastic Optimization for Performative Prediction. NeurIPS (2020)
Tijana Zrnic, Daniel Jiang, Aaditya Ramdas, Michael I. Jordan
The Power of Batching in Multiple Hypothesis Testing. AISTATS (2020)
Tijana Zrnic, Moritz Hardt
Natural Analysts in Adaptive Data Analysis. ICML (2019)
Tijana Zrnic, Moritz Hardt
Natural Analysts in Adaptive Data Analysis. CoRR (2019)
Tijana Zrnic, Aaditya Ramdas, Michael I. Jordan
Asynchronous Online Testing of Multiple Hypotheses. CoRR (2018)
Aaditya Ramdas, Tijana Zrnic, Martin J. Wainwright, Michael I. Jordan
SAFFRON: an adaptive algorithm for online control of the false discovery rate. CoRR (2018)
Aaditya Ramdas, Tijana Zrnic, Martin J. Wainwright, Michael I. Jordan
SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate. ICML (2018)
Ramya Korlakai Vinayak, Tijana Zrnic, Babak Hassibi
Tensor-based crowdsourced clustering via triangle queries. ICASSP (2017)
Zeljana Saric, Anastazia Zunic, Tijana Zrnic, Milivoje Knezevic, Danica Despotovic, Tijana Delic
Improving location of recording classification using Electric Network Frequency (ENF) analysis. SISY (2016)