Tejas Kulkarni

According to our database, Tejas Kulkarni authored at least 18 papers between 2013 and 2023.

Collaborative distances:

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

2023

Practical Differentially Private Hyperparameter Tuning with Subsampling.

Antti Koskela, Tejas Kulkarni

CoRR, 2023

2021

Constrained Private Mechanisms for Count Data.

Graham Cormode, Tejas Kulkarni, Divesh Srivastava

IEEE Trans. Knowl. Data Eng., 2021

Locally Differentially Private Bayesian Inference.

Tejas Kulkarni, Joonas Jälkö, Samuel Kaski, Antti Honkela

CoRR, 2021

Representation Matters: Improving Perception and Exploration for Robotics.

Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck, Irina Higgins, Ankush Gupta, Tejas Kulkarni, Malcolm Reynolds, Denis Teplyashin, Roland Hafner, Thomas Lampe, Martin A. Riedmiller

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Differentially Private Bayesian Inference for Generalized Linear Models.

Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Private Protocols for U-Statistics in the Local Model and Beyond.

James Bell, Aurélien Bellet, Adrià Gascón, Tejas Kulkarni

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Efficient estimation of statistical functions while preserving client-side privacy.

Tejas Kulkarni

PhD thesis, 2019

Answering Range Queries Under Local Differential Privacy.

Graham Cormode, Tejas Kulkarni, Divesh Srivastava

Proc. VLDB Endow., 2019

Unsupervised Doodling and Painting with Improved SPIRAL.

John F. J. Mellor, Eunbyung Park, Yaroslav Ganin, Igor Babuschkin, Tejas Kulkarni, Dan Rosenbaum, Andy Ballard, Theophane Weber, Oriol Vinyals, S. M. Ali Eslami

CoRR, 2019

Answering Range Queries Under Local Differential Privacy.

Tejas Kulkarni

Proceedings of the 2019 International Conference on Management of Data, 2019

On the Effects of Mobility Uncertainties on Wireless Communications between Flying Drones in the mmWave/THz Bands.

Zhangyu Guan, Tejas Kulkarni

Proceedings of the IEEE INFOCOM 2019, 2019

2018

Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning.

Aishwarya Agrawal, Mateusz Malinowski, Felix Hill, S. M. Ali Eslami, Oriol Vinyals, Tejas Kulkarni

CoRR, 2018

Marginal Release Under Local Differential Privacy.

Graham Cormode, Tejas Kulkarni, Divesh Srivastava

Proceedings of the 2018 International Conference on Management of Data, 2018

Privacy at Scale: Local Differential Privacy in Practice.

Graham Cormode, Somesh Jha, Tejas Kulkarni, Ninghui Li, Divesh Srivastava, Tianhao Wang

Proceedings of the 2018 International Conference on Management of Data, 2018

Synthesizing Programs for Images using Reinforced Adversarial Learning.

Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Constrained Differential Privacy for Count Data.

Graham Cormode, Tejas Kulkarni, Divesh Srivastava

CoRR, 2017

2016

Leader Election in Sparse Dynamic Networks with Churn.

John Augustine, Tejas Kulkarni, Sumathi Sivasubramaniam

Internet Math., 2016

2013

Robust Leader Election in a Fast-Changing World.

John Augustine, Tejas Kulkarni, Paresh Nakhe, Peter Robinson

Proceedings of the Proceedings Ninth International Workshop on Foundations of Mobile Computing, 2013