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Charvi Rastogi
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2020 – today
- 2024
- [c6]Jessica Quaye
, Alicia Parrish
, Oana Inel
, Charvi Rastogi
, Hannah Rose Kirk
, Minsuk Kahng
, Erin Van Liemt
, Max Bartolo
, Jess Tsang
, Justin White
, Nathan Clement
, Rafael Mosquera
, Juan Ciro
, Vijay Janapa Reddi
, Lora Aroyo
:
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. FAccT 2024: 388-406 - [i13]Charvi Rastogi, Xiangchen Song, Zhijing Jin, Ivan Stelmakh, Hal Daumé III, Kun Zhang, Nihar B. Shah:
A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions. CoRR abs/2403.01015 (2024) - [i12]Jessica Quaye, Alicia Parrish, Oana Inel, Charvi Rastogi, Hannah Rose Kirk, Minsuk Kahng, Erin Van Liemt, Max Bartolo, Jess Tsang, Justin White, Nathan Clement, Rafael Mosquera, Juan Ciro, Vijay Janapa Reddi, Lora Aroyo:
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. CoRR abs/2403.12075 (2024) - 2023
- [c5]Charvi Rastogi
, Marco Túlio Ribeiro
, Nicholas King
, Harsha Nori
, Saleema Amershi
:
Supporting Human-AI Collaboration in Auditing LLMs with LLMs. AIES 2023: 913-926 - [c4]Charvi Rastogi
:
Investigating the Relative Strengths of Humans and Machine Learning in Decision-Making. AIES 2023: 987-989 - [c3]Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi:
DataPerf: Benchmarks for Data-Centric AI Development. NeurIPS 2023 - [i11]Charvi Rastogi, Marco Túlio Ribeiro, Nicholas King, Saleema Amershi:
Supporting Human-AI Collaboration in Auditing LLMs with LLMs. CoRR abs/2304.09991 (2023) - [i10]Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Max Bartolo, Oana Inel, Juan Ciro, Rafael Mosquera, Addison Howard, Will Cukierski, D. Sculley, Vijay Janapa Reddi, Lora Aroyo:
Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models. CoRR abs/2305.14384 (2023) - 2022
- [j3]Charvi Rastogi, Sivaraman Balakrishnan, Nihar B. Shah, Aarti Singh:
Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions. J. Mach. Learn. Res. 23: 225:1-225:48 (2022) - [j2]Charvi Rastogi, Yunfeng Zhang, Dennis Wei, Kush R. Varshney, Amit Dhurandhar, Richard Tomsett:
Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making. Proc. ACM Hum. Comput. Interact. 6(CSCW1): 83:1-83:22 (2022) - [c2]Charvi Rastogi, Ivan Stelmakh, Nihar B. Shah, Sivaraman Balakrishnan:
No Rose for MLE: Inadmissibility of MLE for Evaluation Aggregation Under Levels of Expertise. ISIT 2022: 3168-3173 - [i9]Ivan Stelmakh, Charvi Rastogi, Ryan Liu, Shuchi Chawla, Federico Echenique, Nihar B. Shah:
Cite-seeing and Reviewing: A Study on Citation Bias in Peer Review. CoRR abs/2203.17239 (2022) - [i8]Charvi Rastogi, Ivan Stelmakh, Xinwei Shen, Marina Meila, Federico Echenique, Shuchi Chawla, Nihar B. Shah:
To ArXiv or not to ArXiv: A Study Quantifying Pros and Cons of Posting Preprints Online. CoRR abs/2203.17259 (2022) - [i7]Charvi Rastogi, Liu Leqi, Kenneth Holstein, Hoda Heidari:
A Unifying Framework for Combining Complementary Strengths of Humans and ML toward Better Predictive Decision-Making. CoRR abs/2204.10806 (2022) - [i6]Charvi Rastogi, Ivan Stelmakh, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, Zhenyu Xue, Hal Daumé III, Emma Pierson, Nihar B. Shah:
How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions? CoRR abs/2211.12966 (2022) - 2020
- [c1]Charvi Rastogi, Sivaraman Balakrishnan, Nihar B. Shah, Aarti Singh:
Two-Sample Testing on Pairwise Comparison Data and the Role of Modeling Assumptions. ISIT 2020: 1271-1276 - [i5]Charvi Rastogi, Sivaraman Balakrishnan, Nihar B. Shah, Aarti Singh:
Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions. CoRR abs/2006.11909 (2020) - [i4]Charvi Rastogi, Yunfeng Zhang, Dennis Wei, Kush R. Varshney, Amit Dhurandhar, Richard Tomsett:
Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making. CoRR abs/2010.07938 (2020) - [i3]Ivan Stelmakh, Charvi Rastogi, Nihar B. Shah, Aarti Singh, Hal Daumé III:
A Large Scale Randomized Controlled Trial on Herding in Peer-Review Discussions. CoRR abs/2011.15083 (2020)
2010 – 2019
- 2018
- [j1]Bhavya Kailkhura, Jayaraman J. Thiagarajan, Charvi Rastogi, Pramod K. Varshney, Peer-Timo Bremer:
A Spectral Approach for the Design of Experiments: Design, Analysis and Algorithms. J. Mach. Learn. Res. 19: 34:1-34:46 (2018) - 2017
- [i2]Charvi Rastogi, Animesh Kumar:
Mobile Sensing of Two-Dimensional Bandlimited Fields on Random Paths. CoRR abs/1711.04114 (2017) - [i1]Bhavya Kailkhura, Jayaraman J. Thiagarajan, Charvi Rastogi, Pramod K. Varshney, Peer-Timo Bremer:
A Spectral Approach for the Design of Experiments: Design, Analysis and Algorithms. CoRR abs/1712.06028 (2017)
Coauthor Index
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last updated on 2024-07-04 21:28 CEST by the dblp team
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