Tijana Zrnic

According to our database1, Tijana Zrnic authored at least 24 papers between 2016 and 2024.

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Bibliography

2024
Can Unconfident LLM Annotations Be Used for Confident Conclusions?
CoRR, 2024

A Note on the Prediction-Powered Bootstrap.
CoRR, 2024

Active Statistical Inference.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Plug-in Performative Optimization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Prediction and Statistical Inference in Feedback Loops
PhD thesis, 2023

PPI++: Efficient Prediction-Powered Inference.
CoRR, 2023

Cross-Prediction-Powered Inference.
CoRR, 2023

Prediction-Powered Inference.
CoRR, 2023

Algorithmic Collective Action in Machine Learning.
Proceedings of the International Conference on Machine Learning, 2023

2022
Valid Inference after Causal Discovery.
CoRR, 2022

A Note on Zeroth-Order Optimization on the Simplex.
CoRR, 2022

Regret Minimization with Performative Feedback.
Proceedings of the International Conference on Machine Learning, 2022

2021
Asynchronous Online Testing of Multiple Hypotheses.
J. Mach. Learn. Res., 2021

Private Prediction Sets.
CoRR, 2021

Who Leads and Who Follows in Strategic Classification?
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Individual Privacy Accounting via a Rényi Filter.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Outside the Echo Chamber: Optimizing the Performative Risk.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Stochastic Optimization for Performative Prediction.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Performative Prediction.
Proceedings of the 37th International Conference on Machine Learning, 2020

The Power of Batching in Multiple Hypothesis Testing.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Natural Analysts in Adaptive Data Analysis.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Tensor-based crowdsourced clustering via triangle queries.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Improving location of recording classification using Electric Network Frequency (ENF) analysis.
Proceedings of the 14th IEEE International Symposium on Intelligent Systems and Informatics, 2016


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