Tejas Kulkarni

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 23

Top Topics

Differentially Private

Hyperparameters

Differential Privacy

Bayesian Inference

Top Venues

SIGMOD Conference

Publications

Antti Koskela, Tejas Kulkarni
Practical Differentially Private Hyperparameter Tuning with Subsampling. CoRR (2023)
Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela
Differentially Private Bayesian Inference for Generalized Linear Models. ICML (2021)
Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck, Irina Higgins, Ankush Gupta, Tejas Kulkarni, Malcolm Reynolds, Denis Teplyashin, Roland Hafner, Thomas Lampe, Martin A. Riedmiller
Representation Matters: Improving Perception and Exploration for Robotics. ICRA (2021)
Graham Cormode, Tejas Kulkarni, Divesh Srivastava
Constrained Private Mechanisms for Count Data. IEEE Trans. Knowl. Data Eng. 33 (2) (2021)
Tejas Kulkarni, Joonas Jälkö, Samuel Kaski, Antti Honkela
Locally Differentially Private Bayesian Inference. CoRR (2021)
James Bell, Aurélien Bellet, Adrià Gascón, Tejas Kulkarni
Private Protocols for U-Statistics in the Local Model and Beyond. AISTATS (2020)
Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck, Irina Higgins, Ankush Gupta, Tejas Kulkarni, Malcolm Reynolds, Denis Teplyashin, Roland Hafner, Thomas Lampe, Martin A. Riedmiller
Representation Matters: Improving Perception and Exploration for Robotics. CoRR (2020)
Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela
Differentially Private Bayesian Inference for Generalized Linear Models. CoRR (2020)
James Bell, Aurélien Bellet, Adrià Gascón, Tejas Kulkarni
Private Protocols for U-Statistics in the Local Model and Beyond. CoRR (2019)
Tejas Kulkarni
Answering Range Queries Under Local Differential Privacy. SIGMOD Conference (2019)
Graham Cormode, Tejas Kulkarni, Divesh Srivastava
Answering Range Queries Under Local Differential Privacy. Proc. VLDB Endow. 12 (10) (2019)
Zhangyu Guan, Tejas Kulkarni
On the Effects of Mobility Uncertainties on Wireless Communications between Flying Drones in the mmWave/THz Bands. INFOCOM Workshops (2019)
John F. J. Mellor, Eunbyung Park, Yaroslav Ganin, Igor Babuschkin, Tejas Kulkarni, Dan Rosenbaum, Andy Ballard, Theophane Weber, Oriol Vinyals, S. M. Ali Eslami
Unsupervised Doodling and Painting with Improved SPIRAL. CoRR (2019)
Graham Cormode, Tejas Kulkarni, Divesh Srivastava
Constrained Private Mechanisms for Count Data. ICDE (2018)
Aishwarya Agrawal, Mateusz Malinowski, Felix Hill, S. M. Ali Eslami, Oriol Vinyals, Tejas Kulkarni
Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning. CoRR (2018)
Graham Cormode, Somesh Jha, Tejas Kulkarni, Ninghui Li, Divesh Srivastava, Tianhao Wang
Privacy at Scale: Local Differential Privacy in Practice. SIGMOD Conference (2018)
Graham Cormode, Tejas Kulkarni, Divesh Srivastava
Marginal Release Under Local Differential Privacy. SIGMOD Conference (2018)
Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals
Synthesizing Programs for Images using Reinforced Adversarial Learning. ICML (2018)
Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals
Synthesizing Programs for Images using Reinforced Adversarial Learning. CoRR (2018)
Tejas Kulkarni, Graham Cormode, Divesh Srivastava
Answering Range Queries Under Local Differential Privacy. CoRR (2018)
Graham Cormode, Tejas Kulkarni, Divesh Srivastava
Constrained Differential Privacy for Count Data. CoRR (2017)
Tejas Kulkarni, Graham Cormode, Divesh Srivastava
Marginal Release Under Local Differential Privacy. CoRR (2017)
John Augustine, Tejas Kulkarni, Sumathi Sivasubramaniam
Leader Election in Sparse Dynamic Networks with Churn. Internet Math. 12 (6) (2016)
John Augustine, Tejas Kulkarni, Sumathi Sivasubramaniam
Leader Election in Sparse Dynamic Networks with Churn. IPDPS (2015)
John Augustine, Tejas Kulkarni, Paresh Nakhe, Peter Robinson
Robust Leader Election in a Fast-Changing World. FOMC (2013)