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2020 – today
- 2024
[c8]Keshav Santhanam
, Deepti Raghavan, Muhammad Shahir Rahman, Thejas Venkatesh, Neha Kunjal, Pratiksha Thaker, Philip Alexander Levis, Matei Zaharia:
ALTO: An Efficient Network Orchestrator for Compound AI Systems. EuroMLSys@EuroSys 2024: 117-125- [i6]Pratiksha Thaker, Yash Maurya, Virginia Smith:
Guardrail Baselines for Unlearning in LLMs. CoRR abs/2403.03329 (2024) - [i5]Keshav Santhanam, Deepti Raghavan, Muhammad Shahir Rahman, Thejas Venkatesh, Neha Kunjal, Pratiksha Thaker, Philip Alexander Levis, Matei Zaharia:
ALTO: An Efficient Network Orchestrator for Compound AI Systems. CoRR abs/2403.04311 (2024) - [i4]Pratiksha Thaker, Shengyuan Hu, Neil Kale, Yash Maurya, Zhiwei Steven Wu, Virginia Smith:
Position: LLM Unlearning Benchmarks are Weak Measures of Progress. CoRR abs/2410.02879 (2024) - 2023
- [c7]Pratiksha Thaker, Matei Zaharia, Tatsunori Hashimoto:
Congestion Control Safety via Comparative Statics. INFOCOM 2023: 1-10 - [c6]Kevin Kuo, Pratiksha Thaker, Mikhail Khodak, John Nguyen, Daniel Jiang, Ameet Talwalkar, Virginia Smith:
On Noisy Evaluation in Federated Hyperparameter Tuning. MLSys 2023 - [c5]Deepti Raghavan, Shreya Ravi, Gina Yuan, Pratiksha Thaker, Sanjari Srivastava, Micah Murray, Pedro Henrique Penna, Amy Ousterhout, Philip Alexander Levis, Matei Zaharia, Irene Zhang:
Cornflakes: Zero-Copy Serialization for Microsecond-Scale Networking. SOSP 2023: 200-215 - [i3]Pratiksha Thaker, Amrith Setlur, Zhiwei Steven Wu, Virginia Smith:
Leveraging Public Representations for Private Transfer Learning. CoRR abs/2312.15551 (2023) - 2022
- [j4]Mihai Budiu, Pratiksha Thaker, Parikshit Gopalan, Udi Wieder, Matei Zaharia:
Overlook: Differentially Private Exploratory Visualization for Big Data. J. Priv. Confidentiality 12(1) (2022) - [i2]Kevin Kuo, Pratiksha Thaker, Mikhail Khodak, John Nguyen, Daniel Jiang, Ameet Talwalkar, Virginia Smith:
On Noisy Evaluation in Federated Hyperparameter Tuning. CoRR abs/2212.08930 (2022) - 2021
- [c4]Pratiksha Thaker, Hudson Ayers, Deepti Raghavan, Ning Niu, Philip Alexander Levis, Matei Zaharia:
Clamor: Extending Functional Cluster Computing Frameworks with Fine-Grained Remote Memory Access. SoCC 2021: 654-669 - [c3]Pratiksha Thaker, Matei Zaharia, Tatsunori Hashimoto:
Don't Hate the Player, Hate the Game: Safety and Utility in Multi-Agent Congestion Control. HotNets 2021: 140-146 - 2020
- [i1]Pratiksha Thaker, Mihai Budiu, Parikshit Gopalan, Udi Wieder, Matei Zaharia:
Overlook: Differentially Private Exploratory Visualization for Big Data. CoRR abs/2006.12018 (2020)
2010 – 2019
- 2018
- [j3]Shoumik Palkar, James Thomas, Deepak Narayanan, Pratiksha Thaker, Rahul Palamuttam, Parimarjan Negi, Anil Shanbhag, Malte Schwarzkopf, Holger Pirk, Saman P. Amarasinghe, Samuel Madden, Matei Zaharia:
Evaluating End-to-End Optimization for Data Analytics Applications in Weld. Proc. VLDB Endow. 11(9): 1002-1015 (2018) - 2014
- [j2]Stefanie Tellex, Pratiksha Thaker, Joshua Mason Joseph, Nicholas Roy:
Learning perceptually grounded word meanings from unaligned parallel data. Mach. Learn. 94(2): 151-167 (2014) - [c2]Anirudh Sivaraman, Keith Winstein, Pratiksha Thaker, Hari Balakrishnan:
An experimental study of the learnability of congestion control. SIGCOMM 2014: 479-490 - 2013
- [j1]Robin Deits, Stefanie Tellex, Pratiksha Thaker, Dimitar Simeonov, Thomas Kollar, Nicholas Roy:
Clarifying commands with information-theoretic human-robot dialog. J. Hum. Robot Interact. 2(2): 58-79 (2013) - 2012
- [c1]Stefanie Tellex, Pratiksha Thaker, Robin Deits, Thomas Kollar, Nicholas Roy:
Toward Information Theoretic Human-Robot Dialog. Robotics: Science and Systems 2012
Coauthor Index
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