Pratiksha Thaker

According to our database, Pratiksha Thaker authored at least 22 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Lower Bounds for Public-Private Learning under Distribution Shift.

Amrith Setlur, Pratiksha Thaker, Jonathan Ullman

CoRR, July, 2025

PARALLELPROMPT: Extracting Parallelism from Large Language Model Queries.

Steven Kolawole, Keshav Santhanam, Virginia Smith, Pratiksha Thaker

CoRR, June, 2025

BLUR: A Benchmark for LLM Unlearning Robust to Forget-Retain Overlap.

Shengyuan Hu, Neil Kale, Pratiksha Thaker, Yiwei Fu, Steven Wu, Virginia Smith

CoRR, June, 2025

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference.

Terrance Liu, Matteo Boglioni, Yiwei Fu, Shengyuan Hu, Pratiksha Thaker, Zhiwei Steven Wu

CoRR, June, 2025

Membership Inference Attacks for Unseen Classes.

Pratiksha Thaker, Neil Kale, Zhiwei Steven Wu, Virginia Smith

CoRR, June, 2025

Generate-then-Verify: Reconstructing Data from Limited Published Statistics.

Terrance Liu, Eileen Xiao, Pratiksha Thaker, Adam Smith, Zhiwei Steven Wu

CoRR, April, 2025

Position: LLM Unlearning Benchmarks are Weak Measures of Progress.

Pratiksha Thaker, Shengyuan Hu, Neil Kale, Yash Maurya, Zhiwei Steven Wu, Virginia Smith

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2025

2024

Guardrail Baselines for Unlearning in LLMs.

Pratiksha Thaker, Yash Maurya, Virginia Smith

CoRR, 2024

On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift.

Pratiksha Thaker, Amrith Setlur, Steven Z. Wu, Virginia Smith

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ALTO: An Efficient Network Orchestrator for Compound AI Systems.

Keshav Santhanam, Deepti Raghavan, Muhammad Shahir Rahman, Thejas Venkatesh, Neha Kunjal, Pratiksha Thaker, Philip Alexander Levis, Matei Zaharia

Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

2023

Leveraging Public Representations for Private Transfer Learning.

Pratiksha Thaker, Amrith Setlur, Zhiwei Steven Wu, Virginia Smith

CoRR, 2023

Cornflakes: Zero-Copy Serialization for Microsecond-Scale Networking.

Deepti Raghavan, Shreya Ravi, Gina Yuan, Pratiksha Thaker, Sanjari Srivastava, Micah Murray, Pedro Henrique Penna, Amy Ousterhout, Philip Alexander Levis, Matei Zaharia, Irene Zhang

Proceedings of the 29th Symposium on Operating Systems Principles, 2023

On Noisy Evaluation in Federated Hyperparameter Tuning.

Kevin Kuo, Pratiksha Thaker, Mikhail Khodak, John Nguyen, Daniel Jiang, Ameet Talwalkar, Virginia Smith

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Congestion Control Safety via Comparative Statics.

Pratiksha Thaker, Matei Zaharia, Tatsunori Hashimoto

Proceedings of the IEEE INFOCOM 2023, 2023

2022

Overlook: Differentially Private Exploratory Visualization for Big Data.

Mihai Budiu, Pratiksha Thaker, Parikshit Gopalan, Udi Wieder, Matei Zaharia

J. Priv. Confidentiality, 2022

2021

Don't Hate the Player, Hate the Game: Safety and Utility in Multi-Agent Congestion Control.

Pratiksha Thaker, Matei Zaharia, Tatsunori Hashimoto

Proceedings of the HotNets '21: The 20th ACM Workshop on Hot Topics in Networks, 2021

Clamor: Extending Functional Cluster Computing Frameworks with Fine-Grained Remote Memory Access.

Pratiksha Thaker, Hudson Ayers, Deepti Raghavan, Ning Niu, Philip Alexander Levis, Matei Zaharia

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

2018

Evaluating End-to-End Optimization for Data Analytics Applications in Weld.

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

Proc. VLDB Endow., 2018

2014

Learning perceptually grounded word meanings from unaligned parallel data.

Stefanie Tellex, Pratiksha Thaker, Joshua Mason Joseph, Nicholas Roy

Mach. Learn., 2014

An experimental study of the learnability of congestion control.

Anirudh Sivaraman, Keith Winstein, Pratiksha Thaker, Hari Balakrishnan

Proceedings of the ACM SIGCOMM 2014 Conference, 2014

2013

Clarifying commands with information-theoretic human-robot dialog.

Robin Deits, Stefanie Tellex, Pratiksha Thaker, Dimitar Simeonov, Thomas Kollar, Nicholas Roy

J. Hum. Robot Interact., 2013

2012

Toward Information Theoretic Human-Robot Dialog.

Stefanie Tellex, Pratiksha Thaker, Robin Deits, Thomas Kollar, Nicholas Roy

Proceedings of the Robotics: Science and Systems VIII, 2012