Papers
(α-β) denotes when authors are ordered alphabetically.
On Language Models
From Style to Facts: Mapping the Boundaries of Knowledge Injection with Finetuning
Preprint, Feb 2025
@misc{stylefacts_2025,
title = {From Style to Facts: Mapping the Boundaries of Knowledge Injection with Finetuning},
author = {Zhao, Eric and Awasthi, Pranjal and Haghtalab, Nika},
month = {Feb},
year = {2025},
note = {Preprint},
pdf = {https://eric-zhao.com/files/finetuning_spectrum.pdf}
}
Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification
Preprint, Jan 2025
@misc{samplingsearch_2025,
title = {Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification},
author = {Zhao, Eric and Awasthi, Pranjal and Gollapudi, Sreenivas},
month = {Jan},
year = {2025},
note = {Preprint},
arxiv = {2502.01839},
pdf = {https://eric-zhao.com/files/sampling_based_search.pdf}
}
On The Theory of Multi-Objective Learning
Learning With Multi-Group Guarantees For Clusterable Subpopulations
Preprint, Sept 2024
@misc{multigroup_2024,
title = {Learning With Multi-Group Guarantees For Clusterable Subpopulations},
author = {Dai, Jessica and Haghtalab, Nika and Zhao, Eric},
month = {Sept},
year = {2024},
note = {Preprint},
arxiv = {2410.14588},
pdf = {https://eric-zhao.com/files/multi_group_clusters.pdf}
}
A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning
NeurIPS 2023
@inproceedings{mc_2023,
title = {A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning},
author = {Haghtalab, Nika and Jordan, Michael and Zhao, Eric},
booktitle = {Proceedings of the 37th Annual Conference on Neural Information Processing Systems},
month = {Feb},
year = {2023},
note = {Conference paper},
arxiv = {2302.10863},
pdf = {https://eric-zhao.com/files/Multi-Calibration%20Game%20Dynamics.pdf}
}
The Sample Complexity of Multi-Distribution Learning for VC Classes
COLT 2023
@inproceedings{md_2023,
title = {The Sample Complexity of Multi-Distribution Learning for VC Classes},
author = {Awasthi, Pranjal and Haghtalab, Nika and Zhao, Eric},
booktitle = {Proceedings of the 36th Annual Conference on Learning Theory},
month = {Jul},
year = {2023},
note = {Conference paper},
arxiv = {2307.12135},
pdf = {https://eric-zhao.com/files/openproblem.pdf}
}
On-Demand Sampling: Learning Optimally from Multiple Distributions
NeurIPS 2022
Outstanding Paper Award (Top 0.5% of accepted papers)
@inproceedings{zhao_ondemand_2022,
title = {On-Demand Sampling: Learning Optimally from Multiple Distributions},
author = {Haghtalab, Nika and Jordan, Michael and Zhao, Eric},
booktitle = {Proceedings of the 36th Annual Conference on Neural Information Processing Systems},
month = {May},
year = {2022},
note = {Conference paper},
arxiv = {2210.12529},
pdf = {https://eric-zhao.com/files/On-Demand%20Sampling%20[Neurips%202022].pdf}
}
On the Theory of Calibrated Forecasting
Truthfulness of Decision-Theoretic Calibration Measures
Preprint, Jan 2025
@misc{truthfuldt_2025,
title = {Truthfulness of Decision-Theoretic Calibration Measures},
author = {Qiao, Mingda and Zhao, Eric},
month = {Jan},
year = {2025},
note = {Preprint},
pdf = {https://eric-zhao.com/files/decision_truthfulness.pdf}
}
Truthfulness of Calibration Measures
NeurIPS 2024
@inproceedings{calibration_2024,
title = {Truthfulness of Calibration Measures},
author = {Haghtalab, Nika and Qiao, Mingda and Yang, Kunhe and Zhao, Eric},
booktitle = {Proceedings of the 38th Annual Conference on Neural Information Processing Systems},
month = {Feb},
year = {2024},
note = {Conference paper},
arxiv = {2407.13979},
pdf = {https://eric-zhao.com/files/truthfulness_of_calibration.pdf}
}
On Microeconomics
Algorithmic Content Selection and the Impact of User Disengagement
Preprint, Feb 2024
@misc{elastic_2024,
title = {Algorithmic Content Selection and the Impact of User Disengagement},
author = {Calvano, Emilio and Haghtalab, Nika and Vitercik, Ellen and Zhao, Eric},
month = {Feb},
year = {2024},
note = {Preprint},
arxiv = {2410.13108},
pdf = {https://eric-zhao.com/files/elastic_demand.pdf}
}
On Optimization
Stacking as Accelerated Gradient Descent
Preprint, Feb 2024
@misc{stacking_2024,
title = {Stacking as Accelerated Gradient Descent},
author = {Agarwal, Naman and Awasthi, Pranjal and Kale, Satyen and Zhao, Eric},
month = {Feb},
year = {2024},
note = {Preprint},
arxiv = {2403.04978},
pdf = {https://eric-zhao.com/files/stacking.pdf}
}
Learning Variational Inequalities from Data: Fast Generalization Rates under Strong Monotonicity
Technical report, Feb 2024
@techreport{vi_2024,
title = {Learning Variational Inequalities from Data: Fast Generalization Rates under Strong Monotonicity},
author = {Zhao, Eric and Chavdarova, Tatjana and Jordan, Michael},
month = {Feb},
year = {2024},
institution = {},
note = {Technical report},
arxiv = {2410.20649},
pdf = {https://eric-zhao.com/files/vi_stability.pdf}
}
On Domain Adaptation
Learning to Play General-Sum Games Against Multiple Boundedly Rational Agents
AAAI 2021
@inproceedings{zhao_learning_2021,
title = {Learning to Play General-Sum Games Against Multiple Boundedly Rational Agents},
author = {Zhao, Eric and Trott, Alexander R. and Xiong, Caiming and Zheng, Stephan},
booktitle = {Proceedings of the 37th AAAI Conference on Artificial Intelligence},
month = {June},
year = {2021},
note = {Conference paper},
arxiv = {2106.05492},
pdf = {https://eric-zhao.com/files/robust_equilibria.pdf}
}
Active Learning under Label Shift
AISTATS 2021
@inproceedings{zhao_label_2021,
title = {Active Learning under Label Shift},
author = {Zhao, Eric and Liu, Anqi and Anandkumar, Animashree and Yue, Yisong},
booktitle = {Proceedings of the 24th International Conference on Artificial Intelligence and Statistics},
month = {Feb},
year = {2021},
note = {Conference paper},
arxiv = {2007.08479},
pdf = {https://eric-zhao.com/files/label_shift.pdf}
}
Misc.
Semantic Routing via Autoregressive Modeling
NeurIPS 2024
@inproceedings{routing_2024,
title = {Semantic Routing via Autoregressive Modeling},
author = {Zhao, Eric and Awasthi, Pranjal and Chen, Zhengdao and Gollapudi, Sreenivas and Delling, Daniel},
booktitle = {Proceedings of the 38th Annual Conference on Neural Information Processing Systems},
month = {May},
year = {2024},
note = {Conference paper},
pdf = {https://eric-zhao.com/files/semantic_routing.pdf}
}
Scaling Bias Mitigation with Multiple Fairness Tasks and Multiple Protected Attributes
Technical report, Sept 2021
@techreport{ifas_2022,
title = {Scaling Bias Mitigation with Multiple Fairness Tasks and Multiple Protected Attributes},
author = {Zhao, Eric and Huang, De-An and Liu, Hao and Yu, Zhiding and Liu, Anqi and Russakovsky, Olga and Anandkumar, Anima},
month = {May},
year = {2022},
institution = {},
note = {Technical report},
pdf = {https://eric-zhao.com/files/bias_mitigation.pdf}
}