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ORCIDAntonio A. Ginart
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- affiliation: Stanford University, CA, USA
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2020 – today
- 2024
[i7]Antonio A. Ginart, Naveen Kodali, Jason Lee, Caiming Xiong, Silvio Savarese, John Emmons:
Asynchronous Tool Usage for Real-Time Agents. CoRR abs/2410.21620 (2024)- 2022
- [j2]Yongchan Kwon, Tony Ginart, James Zou:
Competition over data: how does data purchase affect users? Trans. Mach. Learn. Res. 2022 (2022) - [c6]Tony Ginart, Martin Jinye Zhang, James Zou:
MLDemon: Deployment Monitoring for Machine Learning Systems. AISTATS 2022: 3962-3997 - [i6]Antonio Ginart, Laurens van der Maaten, James Zou, Chuan Guo:
Submix: Practical Private Prediction for Large-Scale Language Models. CoRR abs/2201.00971 (2022) - [i5]Yongchan Kwon, Antonio Ginart, James Zou:
Competition over data: how does data purchase affect users? CoRR abs/2201.10774 (2022) - 2021
- [c5]Tony Ginart, Eva Zhang, Yongchan Kwon, James Zou:
Competing AI: How does competition feedback affect machine learning? AISTATS 2021: 1693-1701 - [c4]Antonio A. Ginart, Maxim Naumov, Dheevatsa Mudigere, Jiyan Yang, James Zou:
Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems. ISIT 2021: 2786-2791 - [i4]Antonio Ginart, Martin Jinye Zhang, James Zou:
MLDemon: Deployment Monitoring for Machine Learning Systems. CoRR abs/2104.13621 (2021) - 2020
- [j1]Soheil Feizi
, Farzan Farnia, Tony Ginart, David Tse:
Understanding GANs in the LQG Setting: Formulation, Generalization and Stability. IEEE J. Sel. Areas Inf. Theory 1(1): 304-311 (2020) - [i3]Antonio Ginart, Eva Zhang, James Zou:
Competing AI: How competition feedback affects machine learning. CoRR abs/2009.06797 (2020)
2010 – 2019
- 2019
- [c3]Antonio Ginart, Melody Y. Guan, Gregory Valiant, James Zou:
Making AI Forget You: Data Deletion in Machine Learning. NeurIPS 2019: 3513-3526 - [i2]Antonio Ginart, Melody Y. Guan, Gregory Valiant, James Zou:
Making AI Forget You: Data Deletion in Machine Learning. CoRR abs/1907.05012 (2019) - [i1]Antonio Ginart, Maxim Naumov, Dheevatsa Mudigere, Jiyan Yang, James Zou:
Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems. CoRR abs/1909.11810 (2019) - 2016
- [c2]Antonio A. Ginart, Sanmay Das, Jenine K. Harris, Roger Wong, Hao Yan, Melissa J. Krauss, Patricia A. Cavazos-Rehg:
Drugs or Dancing? Using Real-Time Machine Learning to Classify Streamed "Dabbing" Homograph Tweets. ICHI 2016: 10-13 - 2014
- [c1]José A. Restrepo, Julio Viola, Flavio Quizhpi, Antonio Ginart:
Fast detection of sequence components using Savitzky-Golay filters. IECON 2014: 4453-4457
Coauthor Index
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