Kasiviswanathan, Shiva

16 publications

ICLR 2025 QA-Calibration of Language Model Confidence Scores Putra Manggala, Atalanti A. Mastakouri, Elke Kirschbaum, Shiva Kasiviswanathan, Aaditya Ramdas

AISTATS 2024 Differentially Private Conditional Independence Testing Iden Kalemaj, Shiva Kasiviswanathan, Aaditya Ramdas

TMLR 2024 Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual Queries Patrick Chao, Patrick Blöbaum, Sapan Kirit Patel, Shiva Kasiviswanathan

CLeaR 2024 The PetShop Dataset — Finding Causes of Performance Issues Across Microservices Michaela Hardt, William Roy Orchard, Patrick Blöbaum, Elke Kirschbaum, Shiva Kasiviswanathan

ICML 2023 Sequential Kernelized Independence Testing Aleksandr Podkopaev, Patrick Blöbaum, Shiva Kasiviswanathan, Aaditya Ramdas

ICML 2023 Thompson Sampling with Diffusion Generative Prior Yu-Guan Hsieh, Shiva Kasiviswanathan, Branislav Kveton, Patrick Blöbaum

AISTATS 2022 Reconstructing Test Labels from Noisy Loss Functions Abhinav Aggarwal, Shiva Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier

UAI 2022 Balancing Utility and Scalability in Metric Differential Privacy Jacob Imola, Shiva Kasiviswanathan, Stephen White, Abhinav Aggarwal, Nathanael Teissier

NeurIPSW 2022 Diffusion Prior for Online Decision Making: A Case Study of Thompson Sampling Yu-Guan Hsieh, Shiva Kasiviswanathan, Branislav Kveton, Patrick Blöbaum

ICML 2022 On Measuring Causal Contributions via Do-Interventions Yonghan Jung, Shiva Kasiviswanathan, Jin Tian, Dominik Janzing, Patrick Bloebaum, Elias Bareinboim

ICML 2021 Federated Learning Under Arbitrary Communication Patterns Dmitrii Avdiukhin, Shiva Kasiviswanathan

ICML 2021 Label Inference Attacks from Log-Loss Scores Abhinav Aggarwal, Shiva Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier

NeurIPSW 2021 Reconstructing Test Labels from Noisy Loss Scores (Extended Abstract) Abhinav Aggarwal, Shiva Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier

AISTATS 2020 Contextual Online False Discovery Rate Control Shiyun Chen, Shiva Kasiviswanathan

ICML 2020 Efficient Intervention Design for Causal Discovery with Latents Raghavendra Addanki, Shiva Kasiviswanathan, Andrew Mcgregor, Cameron Musco

ICML 2018 Semi-Supervised Learning on Data Streams via Temporal Label Propagation Tal Wagner, Sudipto Guha, Shiva Kasiviswanathan, Nina Mishra