Tyagi, Himanshu

14 publications

NeurIPS 2025 Scalable Fingerprinting of Large Language Models Anshul Nasery, Jonathan Hayase, Creston Brooks, Peiyao Sheng, Himanshu Tyagi, Pramod Viswanath, Sewoong Oh

ICLRW 2025 Scalable Fingerprinting of Large Language Models Anshul Nasery, Jonathan Hayase, Creston Brooks, Peiyao Sheng, Himanshu Tyagi, Pramod Viswanath, Sewoong Oh

NeurIPS 2023 Unified Lower Bounds for Interactive High-Dimensional Estimation Under Information Constraints Jayadev Acharya, Clément L Canonne, Ziteng Sun, Himanshu Tyagi

COLT 2022 The Role of Interactivity in Structured Estimation Jayadev Acharya, Clement L. Canonne, Ziteng Sun, Himanshu Tyagi

AISTATS 2021 Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information Prathamesh Mayekar, Ananda Theertha Suresh, Himanshu Tyagi

NeurIPS 2021 Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition Jayadev Acharya, Clement Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi

NeurIPS 2021 Information-Constrained Optimization: Can Adaptive Processing of Gradients Help? Jayadev Acharya, Clement Canonne, Prathamesh Mayekar, Himanshu Tyagi

NeurIPS 2021 Optimal Rates for Nonparametric Density Estimation Under Communication Constraints Jayadev Acharya, Clement Canonne, Aditya Vikram Singh, Himanshu Tyagi

COLT 2020 Distributed Signal Detection Under Communication Constraints Jayadev Acharya, Clément L Canonne, Himanshu Tyagi

COLT 2020 Domain Compression and Its Application to Randomness-Optimal Distributed Goodness-of-Fit Jayadev Acharya, Clément L Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi

AISTATS 2020 RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization Prathamesh Mayekar, Himanshu Tyagi

ICML 2019 Communication-Constrained Inference and the Role of Shared Randomness Jayadev Acharya, Clement Canonne, Himanshu Tyagi

COLT 2019 Inference Under Information Constraints: Lower Bounds from Chi-Square Contraction Jayadev Acharya, Clément L Canonne, Himanshu Tyagi

AISTATS 2019 Test Without Trust: Optimal Locally Private Distribution Testing Jayadev Acharya, Clement Canonne, Cody Freitag, Himanshu Tyagi