Tijana Zrnic - RankMe

42 papers A* 11A 1Misc 2Journal 26Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Can Unconfident LLM Annotations Be Used for Confident Conclusions? NAACL (Long Papers) Kristina Gligoric, Tijana Zrnic, Cinoo Lee, Emmanuel J. Candès, Dan Jurafsky
2025	J	`jnl`	Look-Ahead Reasoning on Learning Platforms. CoRR Haiqing Zhu, Tijana Zrnic, Celestine Mendler-Dünner
2025	J	`jnl`	Prediction-Powered Inference with Imputed Covariates and Nonuniform Sampling. CoRR Dan M. Kluger, Kerri Lu, Tijana Zrnic, Sherrie Wang, Stephen Bates
2025	J	`jnl`	Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI. CoRR Wenlong Ji, Lihua Lei, Tijana Zrnic
2025	J	`jnl`	Probably Approximately Correct Labels. CoRR Emmanuel J. Candès, Andrew Ilyas, Tijana Zrnic
2025	J	`jnl`	Robust Sampling for Active Statistical Inference. CoRR Puheng Li, Tijana Zrnic, Emmanuel J. Candès
2024	J	`jnl`	A Note on the Prediction-Powered Bootstrap. CoRR Tijana Zrnic
2024	A*	`conf`	Active Statistical Inference. ICML Tijana Zrnic, Emmanuel J. Candès
2024	J	`jnl`	Active Statistical Inference. CoRR Tijana Zrnic, Emmanuel J. Candès
2024	J	`jnl`	Can Unconfident LLM Annotations Be Used for Confident Conclusions? CoRR Kristina Gligoric, Tijana Zrnic, Cinoo Lee, Emmanuel J. Candès, Dan Jurafsky
2024	A*	`conf`	Plug-in Performative Optimization. ICML Licong Lin, Tijana Zrnic
2023	A*	`conf`	Algorithmic Collective Action in Machine Learning. ICML Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner, Tijana Zrnic
2023	J	`jnl`	Algorithmic Collective Action in Machine Learning. CoRR Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner, Tijana Zrnic
2023	J	`jnl`	Cross-Prediction-Powered Inference. CoRR Tijana Zrnic, Emmanuel J. Candès
2023	J	`jnl`	PPI++: Efficient Prediction-Powered Inference. CoRR Anastasios N. Angelopoulos, John C. Duchi, Tijana Zrnic
2023	J	`jnl`	Plug-in Performative Optimization. CoRR Licong Lin, Tijana Zrnic
2023	—	`—`	Prediction and Statistical Inference in Feedback Loops Tijana Zrnic
2023	J	`jnl`	Prediction-Powered Inference. CoRR Anastasios N. Angelopoulos, Stephen Bates, Clara Fannjiang, Michael I. Jordan, Tijana Zrnic
2022	J	`jnl`	A Note on Zeroth-Order Optimization on the Simplex. CoRR Tijana Zrnic, Eric Mazumdar
2022	A*	`conf`	Regret Minimization with Performative Feedback. ICML Meena Jagadeesan, Tijana Zrnic, Celestine Mendler-Dünner
2022	J	`jnl`	Regret Minimization with Performative Feedback. CoRR Meena Jagadeesan, Tijana Zrnic, Celestine Mendler-Dünner
2022	J	`jnl`	Valid Inference after Causal Discovery. CoRR Paula Gradu, Tijana Zrnic, Yixin Wang, Michael I. Jordan
2021	J	`jnl`	Asynchronous Online Testing of Multiple Hypotheses. J. Mach. Learn. Res. Tijana Zrnic, Aaditya Ramdas, Michael I. Jordan
2021	A*	`conf`	Individual Privacy Accounting via a Rényi Filter. NeurIPS Vitaly Feldman, Tijana Zrnic
2021	A*	`conf`	Outside the Echo Chamber: Optimizing the Performative Risk. ICML John Miller, Juan C. Perdomo, Tijana Zrnic
2021	J	`jnl`	Outside the Echo Chamber: Optimizing the Performative Risk. CoRR John Miller, Juan C. Perdomo, Tijana Zrnic
2021	J	`jnl`	Private Prediction Sets. CoRR Anastasios N. Angelopoulos, Stephen Bates, Tijana Zrnic, Michael I. Jordan
2021	A*	`conf`	Who Leads and Who Follows in Strategic Classification? NeurIPS Tijana Zrnic, Eric Mazumdar, S. Shankar Sastry, Michael I. Jordan
2021	J	`jnl`	Who Leads and Who Follows in Strategic Classification? CoRR Tijana Zrnic, Eric Mazumdar, S. Shankar Sastry, Michael I. Jordan
2020	J	`jnl`	Individual Privacy Accounting via a Renyi Filter. CoRR Vitaly Feldman, Tijana Zrnic
2020	A*	`conf`	Performative Prediction. ICML Juan C. Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, Moritz Hardt
2020	J	`jnl`	Performative Prediction. CoRR Juan C. Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, Moritz Hardt
2020	A*	`conf`	Stochastic Optimization for Performative Prediction. NeurIPS Celestine Mendler-Dünner, Juan C. Perdomo, Tijana Zrnic, Moritz Hardt
2020	J	`jnl`	Stochastic Optimization for Performative Prediction. CoRR Celestine Mendler-Dünner, Juan C. Perdomo, Tijana Zrnic, Moritz Hardt
2020	A	`conf`	The Power of Batching in Multiple Hypothesis Testing. AISTATS Tijana Zrnic, Daniel L. Jiang, Aaditya Ramdas, Michael I. Jordan
2019	A*	`conf`	Natural Analysts in Adaptive Data Analysis. ICML Tijana Zrnic, Moritz Hardt
2019	J	`jnl`	Natural Analysts in Adaptive Data Analysis. CoRR Tijana Zrnic, Moritz Hardt
2018	J	`jnl`	Asynchronous Online Testing of Multiple Hypotheses. CoRR Tijana Zrnic, Aaditya Ramdas, Michael I. Jordan
2018	A*	`conf`	SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate. ICML Aaditya Ramdas, Tijana Zrnic, Martin J. Wainwright, Michael I. Jordan
2018	J	`jnl`	SAFFRON: an adaptive algorithm for online control of the false discovery rate. CoRR Aaditya Ramdas, Tijana Zrnic, Martin J. Wainwright, Michael I. Jordan
2017	Misc	`conf`	Tensor-based crowdsourced clustering via triangle queries. ICASSP Ramya Korlakai Vinayak, Tijana Zrnic, Babak Hassibi
2016	Misc	`conf`	Improving location of recording classification using Electric Network Frequency (ENF) analysis. SISY Zeljana Saric, Anastazia Zunic, Tijana Zrnic, Milivoje Knezevic, Danica Despotovic, Tijana Delic