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2020 – today
- 2023
[i11]Antti Koskela, Tejas Kulkarni:
Practical Differentially Private Hyperparameter Tuning with Subsampling. CoRR abs/2301.11989 (2023)- 2021
- [j3]Graham Cormode
, Tejas Kulkarni, Divesh Srivastava:
Constrained Private Mechanisms for Count Data. IEEE Trans. Knowl. Data Eng. 33(2): 415-430 (2021) - [c11]Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela:
Differentially Private Bayesian Inference for Generalized Linear Models. ICML 2021: 5838-5849 - [c10]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: 6512-6519 - [i10]Tejas Kulkarni, Joonas Jälkö, Samuel Kaski, Antti Honkela:
Locally Differentially Private Bayesian Inference. CoRR abs/2110.14426 (2021) - 2020
- [c9]James Bell, Aurélien Bellet, Adrià Gascón, Tejas Kulkarni:
Private Protocols for U-Statistics in the Local Model and Beyond. AISTATS 2020: 1573-1583 - [i9]Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela:
Differentially Private Bayesian Inference for Generalized Linear Models. CoRR abs/2011.00467 (2020) - [i8]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 abs/2011.01758 (2020)
2010 – 2019
- 2019
- [b1]Tejas Kulkarni:
Efficient estimation of statistical functions while preserving client-side privacy. University of Warwick, Coventry, UK, 2019 - [j2]Graham Cormode, Tejas Kulkarni, Divesh Srivastava:
Answering Range Queries Under Local Differential Privacy. Proc. VLDB Endow. 12(10): 1126-1138 (2019) - [c8]Zhangyu Guan, Tejas Kulkarni:
On the Effects of Mobility Uncertainties on Wireless Communications between Flying Drones in the mmWave/THz Bands. INFOCOM Workshops 2019: 768-773 - [c7]Tejas Kulkarni:
Answering Range Queries Under Local Differential Privacy. SIGMOD Conference 2019: 1832-1834 - [i7]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 abs/1910.01007 (2019) - [i6]James Bell, Aurélien Bellet, Adrià Gascón, Tejas Kulkarni:
Private Protocols for U-Statistics in the Local Model and Beyond. CoRR abs/1910.03861 (2019) - 2018
- [c6]Graham Cormode, Tejas Kulkarni, Divesh Srivastava:
Constrained Private Mechanisms for Count Data. ICDE 2018: 845-856 - [c5]Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals:
Synthesizing Programs for Images using Reinforced Adversarial Learning. ICML 2018: 1652-1661 - [c4]Graham Cormode, Tejas Kulkarni, Divesh Srivastava:
Marginal Release Under Local Differential Privacy. SIGMOD Conference 2018: 131-146 - [c3]Graham Cormode, Somesh Jha, Tejas Kulkarni, Ninghui Li, Divesh Srivastava, Tianhao Wang:
Privacy at Scale: Local Differential Privacy in Practice. SIGMOD Conference 2018: 1655-1658 - [i5]Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals:
Synthesizing Programs for Images using Reinforced Adversarial Learning. CoRR abs/1804.01118 (2018) - [i4]Aishwarya Agrawal, Mateusz Malinowski, Felix Hill, S. M. Ali Eslami, Oriol Vinyals, Tejas Kulkarni:
Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning. CoRR abs/1812.00898 (2018) - [i3]Tejas Kulkarni, Graham Cormode, Divesh Srivastava:
Answering Range Queries Under Local Differential Privacy. CoRR abs/1812.10942 (2018) - 2017
- [i2]Graham Cormode, Tejas Kulkarni, Divesh Srivastava:
Constrained Differential Privacy for Count Data. CoRR abs/1710.00608 (2017) - [i1]Tejas Kulkarni, Graham Cormode, Divesh Srivastava:
Marginal Release Under Local Differential Privacy. CoRR abs/1711.02952 (2017) - 2016
- [j1]John Augustine, Tejas Kulkarni, Sumathi Sivasubramaniam:
Leader Election in Sparse Dynamic Networks with Churn. Internet Math. 12(6): 402-418 (2016) - 2015
- [c2]John Augustine, Tejas Kulkarni, Sumathi Sivasubramaniam:
Leader Election in Sparse Dynamic Networks with Churn. IPDPS 2015: 347-356 - 2013
- [c1]John Augustine, Tejas Kulkarni, Paresh Nakhe, Peter Robinson:
Robust Leader Election in a Fast-Changing World. FOMC 2013: 38-49
Coauthor Index
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