Sanjay Krishnan
Sanjay Krishnan
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Cited by
Cited by
Communication-efficient distributed dual coordinate ascent
M Jaggi, V Smith, M Takác, J Terhorst, S Krishnan, T Hofmann, MI Jordan
Advances in neural information processing systems 27, 2014
Data cleaning: Overview and emerging challenges
X Chu, IF Ilyas, S Krishnan, J Wang
Proceedings of the 2016 international conference on management of data, 2201 …, 2016
Activeclean: Interactive data cleaning for statistical modeling
S Krishnan, J Wang, E Wu, MJ Franklin, K Goldberg
Proceedings of the VLDB Endowment 9 (12), 948-959, 2016
Learning to optimize join queries with deep reinforcement learning
S Krishnan, Z Yang, K Goldberg, J Hellerstein, I Stoica
arXiv preprint arXiv:1808.03196, 2018
A sample-and-clean framework for fast and accurate query processing on dirty data
J Wang, S Krishnan, MJ Franklin, K Goldberg, T Kraska, T Milo
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
Transition state clustering: Unsupervised surgical trajectory segmentation for robot learning
S Krishnan, A Garg, S Patil, C Lea, G Hager, P Abbeel, K Goldberg
The International Journal of Robotics Research 36 (13-14), 1595-1618, 2017
Deep unsupervised cardinality estimation
Z Yang, E Liang, A Kamsetty, C Wu, Y Duan, X Chen, P Abbeel, ...
arXiv preprint arXiv:1905.04278, 2019
Multi-level discovery of deep options
R Fox, S Krishnan, I Stoica, K Goldberg
arXiv preprint arXiv:1703.08294, 2017
Fine-grained partitioning for aggressive data skipping
L Sun, MJ Franklin, S Krishnan, RS Xin
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
Multilateral surgical pattern cutting in 2d orthotropic gauze with deep reinforcement learning policies for tensioning
B Thananjeyan, A Garg, S Krishnan, C Chen, L Miller, K Goldberg
2017 IEEE International Conference on Robotics and Automation (ICRA), 2371-2378, 2017
Learning accurate kinematic control of cable-driven surgical robots using data cleaning and gaussian process regression
J Mahler, S Krishnan, M Laskey, S Sen, A Murali, B Kehoe, S Patil, ...
2014 IEEE international conference on automation science and engineering …, 2014
A methodology for learning, analyzing, and mitigating social influence bias in recommender systems
S Krishnan, J Patel, MJ Franklin, K Goldberg
Proceedings of the 8th ACM Conference on Recommender systems, 137-144, 2014
Boostclean: Automated error detection and repair for machine learning
S Krishnan, MJ Franklin, K Goldberg, E Wu
arXiv preprint arXiv:1711.01299, 2017
Towards reliable interactive data cleaning: A user survey and recommendations
S Krishnan, D Haas, MJ Franklin, E Wu
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 1-5, 2016
Ddco: Discovery of deep continuous options for robot learning from demonstrations
S Krishnan, R Fox, I Stoica, K Goldberg
Conference on robot learning, 418-437, 2017
Palm: Machine learning explanations for iterative debugging
S Krishnan, E Wu
Proceedings of the 2Nd workshop on human-in-the-loop data analytics, 1-6, 2017
Tsc-dl: Unsupervised trajectory segmentation of multi-modal surgical demonstrations with deep learning
A Murali, A Garg, S Krishnan, FT Pokorny, P Abbeel, T Darrell, K Goldberg
2016 IEEE international conference on robotics and automation (ICRA), 4150-4157, 2016
Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations
M Laskey, C Chuck, J Lee, J Mahler, S Krishnan, K Jamieson, A Dragan, ...
2017 IEEE International Conference on Robotics and Automation (ICRA), 358-365, 2017
Fast and reliable autonomous surgical debridement with cable-driven robots using a two-phase calibration procedure
D Seita, S Krishnan, R Fox, S McKinley, J Canny, K Goldberg
2018 IEEE International Conference on Robotics and Automation (ICRA), 6651-6658, 2018
Comparing Three Online Civic Engagement Platforms using the Spectrum of Public Participation.
M Nelimarkka, B Nonnecke, S Krishnan, T Aitumurto, D Catterson, ...
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