Nika Haghtalab
University of California, Berkeley
H-index: 22
North America-United States
Top articles of Nika Haghtalab
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Delegating Data Collection in Decentralized Machine Learning | Nivasini Ananthakrishnan Stephen Bates Michael Jordan Nika Haghtalab | 2024/4/18 | |
A unifying perspective on multi-calibration: Game dynamics for multi-objective learning | Advances in Neural Information Processing Systems | Nika Haghtalab Michael Jordan Eric Zhao | 2024/2/13 |
Platforms for Efficient and Incentive-Aware Collaboration | arXiv preprint arXiv:2402.15169 | Nika Haghtalab Mingda Qiao Kunhe Yang | 2024/2/23 |
Communicating with Anecdotes (Extended Abstract); Leibniz International Proceedings in Informatics (LIPIcs): 15th Innovations in Theoretical Computer Science Conference (ITCS 2024) | Nika Haghtalab Nicole Immorlica Brendan Lucier Markus Mobius Divyarthi Mohan | 2024/1 | |
Jailbroken: How does llm safety training fail? | Advances in Neural Information Processing Systems | Alexander Wei Nika Haghtalab Jacob Steinhardt | 2024/2/13 |
Improved bayes risk can yield reduced social welfare under competition | Advances in Neural Information Processing Systems | Meena Jagadeesan Michael Jordan Jacob Steinhardt Nika Haghtalab | 2024/2/13 |
Calibrated stackelberg games: Learning optimal commitments against calibrated agents | Advances in Neural Information Processing Systems | Nika Haghtalab Chara Podimata Kunhe Yang | 2024/2/13 |
Can Probabilistic Feedback Drive User Impacts in Online Platforms? | Jessica Dai Bailey Flanigan Meena Jagadeesan Nika Haghtalab Chara Podimata | 2024/4/18 | |
Smoothed analysis of sequential probability assignment | Advances in Neural Information Processing Systems | Alankrita Bhatt Nika Haghtalab Abhishek Shetty | 2024/2/13 |
Smoothed analysis of online non-parametric auctions | Naveen Durvasula Nika Haghtalab Manolis Zampetakis | 2023/7/9 | |
Competition, alignment, and equilibria in digital marketplaces | Proceedings of the AAAI Conference on Artificial Intelligence | Meena Jagadeesan Michael I Jordan Nika Haghtalab | 2023/6/26 |
Stochastic Minimum Vertex Cover in General Graphs: A 3/2-Approximation | Mahsa Derakhshan Naveen Durvasula Nika Haghtalab | 2023/6/2 | |
Smooth nash equilibria: Algorithms and complexity | arXiv preprint arXiv:2309.12226 | Constantinos Daskalakis Noah Golowich Nika Haghtalab Abhishek Shetty | 2023/9/21 |
Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty | Wenshuo Guo Nika Haghtalab Kirthevasan Kandasamy Ellen Vitercik | 2023/7 | |
The Sample Complexity of Multi-Distribution Learning for VC Classes | arXiv preprint arXiv:2307.12135 | Pranjal Awasthi Nika Haghtalab Eric Zhao | 2023/7/22 |
Open problem: The sample complexity of multi-distribution learning for VC classes | Pranjal Awasthi Nika Haghtalab Eric Zhao | 2023/7/12 | |
Smoothed analysis with adaptive adversaries | Nika Haghtalab Tim Roughgarden Abhishek Shetty | 2022/2/7 | |
On-demand sampling: Learning optimally from multiple distributions | Advances in Neural Information Processing Systems | Nika Haghtalab Michael Jordan Eric Zhao | 2022/12/6 |
Learning in stackelberg games with non-myopic agents | Nika Haghtalab Thodoris Lykouris Sloan Nietert Alexander Wei | 2022/7/12 | |
Communicating with anecdotes | arXiv preprint arXiv:2205.13461 | Nika Haghtalab Nicole Immorlica Brendan Lucier Markus Mobius Divyarthi Mohan | 2022/5/26 |
Co-Authors
