Tijana Zrnic

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All published works
Action Title Year Authors
+ PDF Chat Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI 2025 Wenlong Ji
Lihua Lei
Tijana Zrnic
+ PDF Chat A Flexible Defense Against the Winner's Curse 2024 Tijana Zrnic
William Fithian
+ Valid Inference After Causal Discovery 2024 Paula Gradu
Tijana Zrnic
Zhaoran Wang
Michael I. Jordan
+ PDF Chat Can Unconfident LLM Annotations Be Used for Confident Conclusions? 2024 Kristina Gligorić
Tijana Zrnic
Cinoo Lee
Emmanuel J. Candès
Dan Jurafsky
+ PDF Chat Locally simultaneous inference 2024 Tijana Zrnic
William Fithian
+ PDF Chat A Note on the Prediction-Powered Bootstrap 2024 Tijana Zrnic
+ PDF Chat Cross-prediction-powered inference 2024 Tijana Zrnic
Emmanuel J. Candès
+ PDF Chat Active Statistical Inference 2024 Tijana Zrnic
Emmanuel J. Candès
+ PDF Chat Prediction-powered inference 2023 Anastasios N. Angelopoulos
Stephen Bates
Clara Fannjiang
Michael I. Jordan
Tijana Zrnic
+ PDF Chat Post-selection inference via algorithmic stability 2023 Tijana Zrnic
Michael I. Jordan
+ Prediction-Powered Inference 2023 Anastasios N. Angelopoulos
Stephen Bates
Clara Fannjiang
Michael I. Jordan
Tijana Zrnic
+ Algorithmic Collective Action in Machine Learning 2023 Moritz Hardt
Eric Mazumdar
Celestine Mendler-Dünner
Tijana Zrnic
+ Plug-in Performative Optimization 2023 Licong Lin
Tijana Zrnic
+ Cross-Prediction-Powered Inference 2023 Tijana Zrnic
Emmanuel J. Candès
+ PPI++: Efficient Prediction-Powered Inference 2023 Anastasios N. Angelopoulos
John C. Duchi
Tijana Zrnic
+ PDF Chat Private Prediction Sets 2022 Anastasios N. Angelopoulos
Stephen Bates
Tijana Zrnic
Michael I. Jordan
+ Regret Minimization with Performative Feedback 2022 Meena Jagadeesan
Tijana Zrnic
Celestine Mendler-Dünner
+ A Note on Zeroth-Order Optimization on the Simplex 2022 Tijana Zrnic
Eric Mazumdar
+ Valid Inference after Causal Discovery 2022 Paula Gradu
Tijana Zrnic
Zhaoran Wang
Michael I. Jordan
+ Locally Simultaneous Inference 2022 Tijana Zrnic
William Fithian
+ Individual Privacy Accounting via a Rényi Filter 2021 Vitaly Feldman
Tijana Zrnic
+ Who Leads and Who Follows in Strategic Classification 2021 Tijana Zrnic
Eric Mazumdar
S. Shankar Sastry
Michael I. Jordan
+ Outside the Echo Chamber: Optimizing the Performative Risk 2021 John A. Miller
Juan C. Perdomo
Tijana Zrnic
+ Who Leads and Who Follows in Strategic Classification? 2021 Tijana Zrnic
Eric Mazumdar
S. Shankar Sastry
Michael I. Jordan
+ Private Prediction Sets 2021 Anastasios N. Angelopoulos
Stephen Bates
Tijana Zrnic
Michael I. Jordan
+ Individual Privacy Accounting via a Renyi Filter 2020 Vitaly Feldman
Tijana Zrnic
+ Stochastic Optimization for Performative Prediction 2020 Celestine Mendler-Dünner
Juan C. Perdomo
Tijana Zrnic
Moritz Hardt
+ The Power of Batching in Multiple Hypothesis Testing 2020 Tijana Zrnic
Daniel L. Jiang
Aaditya Ramdas
Michael I. Jordan
+ Performative Prediction 2020 Juan C. Perdomo
Tijana Zrnic
Celestine Mendler-Dünner
Moritz Hardt
+ Stochastic Optimization for Performative Prediction 2020 Celestine Mendler-Dünner
Juan C. Perdomo
Tijana Zrnic
Moritz Hardt
+ Post-Selection Inference via Algorithmic Stability 2020 Tijana Zrnic
Michael I. Jordan
+ Individual Privacy Accounting via a Renyi Filter 2020 Vitaly Feldman
Tijana Zrnic
+ Stochastic Optimization for Performative Prediction 2020 Celestine Mendler-Dünner
Juan C. Perdomo
Tijana Zrnic
Moritz Hardt
+ Performative Prediction 2020 Juan C. Perdomo
Tijana Zrnic
Celestine Mendler-Dünner
Moritz Hardt
+ Natural Analysts in Adaptive Data Analysis 2019 Tijana Zrnic
Moritz Hardt
+ The Power of Batching in Multiple Hypothesis Testing 2019 Tijana Zrnic
Daniel L. Jiang
Aaditya Ramdas
Michael I. Jordan
+ Asynchronous Online Testing of Multiple Hypotheses 2018 Tijana Zrnic
Aaditya Ramdas
Michael I. Jordan
+ SAFFRON: an adaptive algorithm for online control of the false discovery rate 2018 Aaditya Ramdas
Tijana Zrnic
Martin J. Wainwright
Michael I. Jordan
+ Asynchronous Online Testing of Multiple Hypotheses 2018 Tijana Zrnic
Aaditya Ramdas
Michael I. Jordan
+ Tensor-based crowdsourced clustering via triangle queries 2017 Ramya Korlakai Vinayak
Tijana Zrnic
Babak Hassibi
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Preserving Statistical Validity in Adaptive Data Analysis 2015 Cynthia Dwork
Vitaly Feldman
Moritz Hardt
Toniann Pitassi
Omer Reingold
Aaron Roth
5
+ Algorithmic stability for adaptive data analysis 2016 Raef Bassily
Kobbi Nissim
Adam Smith
Thomas Steinke
Uri Stemmer
Jonathan Ullman
5
+ PDF Chat Strategic Classification 2016 Moritz Hardt
Nimrod Megiddo
Christos H. Papadimitriou
Mary Wootters
3
+ PDF Chat <i>α</i>-Investing: a Procedure for Sequential Control of Expected False Discoveries 2008 Dean P. Foster
Robert A. Stine
3
+ PDF Chat A Direct Approach to False Discovery Rates 2002 John D. Storey
3
+ PDF Chat Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach 2003 John D. Storey
Jonathan Taylor
David Siegmund
3
+ PDF Chat The Disparate Effects of Strategic Manipulation 2019 Lily Hu
Nicole Immorlica
Jennifer Wortman Vaughan
3
+ Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing 1995 Yoav Benjamini
Yosef Hochberg
3
+ Generalized α-investing: Definitions, Optimality Results and Application to Public Databases 2013 Ehud Aharoni
Saharon Rosset
3
+ PDF Chat Selective inference with a randomized response 2018 Xiaoying Tian
Jonathan Taylor
3
+ PDF Chat The control of the false discovery rate in multiple testing under dependency 2001 Yoav Benjamini
Daniel Yekutieli
3
+ Exact post-selection inference, with application to the lasso 2016 Jason D. Lee
Dennis L. Sun
Yuekai Sun
Jonathan Taylor
3
+ PDF Chat Deep Learning with Differential Privacy 2016 Martı́n Abadi
Andy Chu
Ian Goodfellow
H. Brendan McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
3
+ PDF Chat Exact Post-Selection Inference for Sequential Regression Procedures 2016 Ryan J. Tibshirani
Jonathan Taylor
Richard Lockhart
Robert Tibshirani
3
+ PDF Chat The Social Cost of Strategic Classification 2019 Smitha Milli
John P. Miller
Anca D. Dragan
Moritz Hardt
3
+ PDF Chat Models as Approximations I: Consequences Illustrated with Linear Regression 2019 Andreas Buja
Lawrence Brown
Richard A. Berk
Edward I. George
Emil Pitkin
Mikhail Traskin
Kai Zhang
Linda Zhao
3
+ PDF Chat Online rules for control of false discovery rate and false discovery exceedance 2018 Adel Javanmard
Andrea Montanari
3
+ PDF Chat Two simple sufficient conditions for FDR control 2008 Gilles Blanchard
Étienne Roquain
2
+ On the Efficiency of a Class of Non-Parametric Estimates 1976 B. Ya. Levit
2
+ PDF Chat Estimating means of bounded random variables by betting 2023 Ian Waudby-Smith
Aaditya Ramdas
2
+ PDF Chat Valid post-selection inference in model-free linear regression 2020 Arun Kumar Kuchibhotla
Lawrence D. Brown
Andreas Buja
Junhui Cai
Edward I. George
Linda Zhao
2
+ Causal Feature Discovery through Strategic Modification. 2020 Yahav Bechavod
Katrina Ligett
Zhiwei Steven Wu
Juba Ziani
2
+ PDF Chat A unified treatment of multiple testing with prior knowledge using the p-filter 2019 Aaditya Ramdas
Rina Foygel Barber
Martin J. Wainwright
Michael I. Jordan
2
+ PDF Chat On the Length of Post-Model-Selection Confidence Intervals Conditional on Polyhedral Constraints 2020 Danijel Kivaranovic
Hannes Leeb
2
+ PDF Chat Uniformly valid confidence intervals post-model-selection 2020 François Bachoc
David Preinerstorfer
Lukas Steinberger
2
+ Maximizing Welfare with Incentive-Aware Evaluation Mechanisms 2020 Nika Haghtalab
Nicole Immorlica
Brendan Lucier
Jack Z. Wang
2
+ Performative Prediction in a Stateful World 2020 Gavin Brown
Shlomi Hod
Iden Kalemaj
2
+ PDF Chat Predictive inference with the jackknife+ 2021 Rina Foygel Barber
Emmanuel J. Candès
Aaditya Ramdas
Ryan J. Tibshirani
2
+ PDF Chat Post-selection inference via algorithmic stability 2023 Tijana Zrnic
Michael I. Jordan
2
+ Stochastic Optimization for Performative Prediction 2020 Celestine Mendler-Dünner
Juan C. Perdomo
Tijana Zrnic
Moritz Hardt
2
+ PDF Chat Max-Information, Differential Privacy, and Post-selection Hypothesis Testing 2016 Ryan Rogers
Aaron Roth
Adam Smith
Om Thakkar
2
+ PDF Chat Galaxy Zoo 2: detailed morphological classifications for 304 122 galaxies from the Sloan Digital Sky Survey 2013 Kyle Willett
Chris Lintott
S. P. Bamford
Karen L. Masters
Brooke Simmons
Kevin Casteels
Edward M. Edmondson
L. Fortson
Sugata Kaviraj
William C. Keel
2
+ PDF Chat Accumulation Tests for FDR Control in Ordered Hypothesis Testing 2016 Ang Li
Rina Foygel Barber
2
+ Strategic Classification from Revealed Preferences 2018 Jinshuo Dong
Aaron Roth
Zachary Schutzman
Bo Waggoner
Zhiwei Steven Wu
2
+ Semiparametric Efficiency in Multivariate Regression Models with Missing Data 1995 James M. Robins
Andrea Rotnitzky
2
+ Power of ordered hypothesis testing 2016 Lihua Lei
William Fithian
2
+ PDF Chat Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds 2016 Mark Bun
Thomas Steinke
2
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
2
+ PDF Chat The Sloan Digital Sky Survey: Technical Summary 2000 Donald G. York
Jennifer Adelman
John E. Anderson
Scott F. Anderson
James Annis
Neta A. Bahcall
Jon Arne Bakken
Robert H. Barkhouser
Steven Bastian
Eileen Berman
2
+ PDF Chat Operating Characteristics and Extensions of the False Discovery Rate Procedure 2002 Christopher R. Genovese
Larry Wasserman
2
+ Online control of the false discovery rate in biomedical research 2018 David S. Robertson
James Wason
2
+ Controlling false discoveries in genetic studies 2007 Edwin J. C. G. van den Oord
2
+ Optimal Inference After Model Selection 2014 William Fithian
Dennis L. Sun
Jonathan Taylor
2
+ A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity 1980 Halbert White
2
+ Estimation of Regression Coefficients When Some Regressors are not Always Observed 1994 James M. Robins
Andrea Rotnitzky
Lue Ping Zhao
2
+ PDF Chat How Do Classifiers Induce Agents to Invest Effort Strategically? 2019 Jon Kleinberg
Manish Raghavan
2
+ The Ladder: A Reliable Leaderboard for Machine Learning Competitions 2015 Avrim Blum
Moritz Hardt
2
+ PDF Chat Semi-supervised inference: General theory and estimation of means 2019 Anru R. Zhang
Lawrence D. Brown
Tianxi Cai
2
+ Root-N-Consistent Semiparametric Regression 1988 Peter M. Robinson
2
+ PDF Chat Splitting strategies for post-selection inference 2022 Daniel G. Rasines
G. A. Young
2