Zrnic, Tijana

16 publications

NeurIPS 2025 Look-Ahead Reasoning on Learning Platforms Haiqing Zhu, Tijana Zrnic, Celestine Mendler-Dünner

NeurIPS 2025 Robust Sampling for Active Statistical Inference Puheng Li, Tijana Zrnic, Emmanuel Candes

ICML 2024 Active Statistical Inference Tijana Zrnic, Emmanuel Candes

ICML 2024 Plug-in Performative Optimization Licong Lin, Tijana Zrnic

ICML 2023 Algorithmic Collective Action in Machine Learning Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner, Tijana Zrnic

ICML 2022 Regret Minimization with Performative Feedback Meena Jagadeesan, Tijana Zrnic, Celestine Mendler-Dünner

NeurIPSW 2022 Valid Inference After Causal Discovery Paula Gradu, Tijana Zrnic, Yixin Wang, Michael Jordan

JMLR 2021 Asynchronous Online Testing of Multiple Hypotheses Tijana Zrnic, Aaditya Ramdas, Michael I. Jordan

NeurIPS 2021 Individual Privacy Accounting via a Rényi Filter Vitaly Feldman, Tijana Zrnic

ICML 2021 Outside the Echo Chamber: Optimizing the Performative Risk John P Miller, Juan C Perdomo, Tijana Zrnic

NeurIPS 2021 Who Leads and Who Follows in Strategic Classification? Tijana Zrnic, Eric Mazumdar, Shankar Sastry, Michael I. Jordan

ICML 2020 Performative Prediction Juan Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, Moritz Hardt

NeurIPS 2020 Stochastic Optimization for Performative Prediction Celestine Mendler-Dünner, Juan Perdomo, Tijana Zrnic, Moritz Hardt

AISTATS 2020 The Power of Batching in Multiple Hypothesis Testing Tijana Zrnic, Daniel Jiang, Aaditya Ramdas, Michael Jordan

ICML 2019 Natural Analysts in Adaptive Data Analysis Tijana Zrnic, Moritz Hardt

ICML 2018 SAFFRON: An Adaptive Algorithm for Online Control of the False Discovery Rate Aaditya Ramdas, Tijana Zrnic, Martin Wainwright, Michael Jordan