Sanjay Krishnan
Sanjay Krishnan
確認したメール アドレス: cs.uchicago.edu - ホームページ
タイトル引用先
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, 3068-3076, 2014
2132014
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
952014
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
842016
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
71*2016
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
532014
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
482014
Identification of high affinity folate binding proteins in human erythrocyte membranes.
AC Antony, RS Kincade, RS Verma, SR Krishnan
The Journal of clinical investigation 80 (3), 711-723, 1987
431987
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
41*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
Robotics Research, 91-110, 2018
382018
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
352018
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
352017
Multi-level discovery of deep options
R Fox, S Krishnan, I Stoica, K Goldberg
arXiv preprint arXiv:1703.08294, 2017
352017
Effect of user mobility on the performance of device-to-device networks with distributed caching
S Krishnan, HS Dhillon
IEEE Wireless Communications Letters 6 (2), 194-197, 2017
352017
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
34*2017
Wisteria: Nurturing scalable data cleaning infrastructure
D Haas, S Krishnan, J Wang, MJ Franklin, E Wu
Proceedings of the VLDB Endowment 8 (12), 2004-2007, 2015
302015
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
292016
Ddco: Discovery of deep continuous options for robot learning from demonstrations
S Krishnan, R Fox, I Stoica, K Goldberg
arXiv preprint arXiv:1710.05421, 2017
252017
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
252017
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, 9, 2016
242016
SampleClean: Fast and Reliable Analytics on Dirty Data.
S Krishnan, J Wang, MJ Franklin, K Goldberg, T Kraska, T Milo, E Wu
IEEE Data Eng. Bull. 38 (3), 59-75, 2015
242015
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