Yuxin Chen
Yuxin Chen
University of Chicago, Assistant Professor of Computer Science
Email verificata su uchicago.edu - Home page
Citata da
Citata da
Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization
Y Chen, A Krause
ICML, 2013
Near optimal bayesian active learning for decision making
S Javdani, Y Chen, A Karbasi, A Krause, D Bagnell, S Srinivasa
Artificial Intelligence and Statistics, 430-438, 2014
Active detection via adaptive submodularity
Y Chen, H Shioi, CF Montesinos, LP Koh, S Wich, A Krause
International Conference on Machine Learning, 55-63, 2014
Submodular surrogates for value of information
Y Chen, S Javdani, A Karbasi, J Bagnell, S Srinivasa, A Krause
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
Sequential Information Maximization: When is Greedy Near-optimal?
Y Chen, SH Hassani, A Karbasi, A Krause
Conference on Learning Theory (COLT), 2015
ilike: Bridging the semantic gap in vertical image search by integrating text and visual features
Y Chen, H Sampathkumar, B Luo, X Chen
IEEE Transactions on Knowledge and Data Engineering 25 (10), 2257-2270, 2012
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes
J Song, Y Chen, Y Yue
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
S2a: secure smart household appliances
Y Chen, B Luo
Proceedings of the second ACM conference on Data and Application Security …, 2012
Understanding the role of adaptivity in machine teaching: The case of version space learners
Y Chen, A Singla, O Mac Aodha, P Perona, Y Yue
arXiv preprint arXiv:1802.05190, 2018
Teaching Categories to Human Learners with Visual Explanations
O Mac Aodha, S Su, Y Chen, P Perona, Y Yue
Conference on Computer Vision and Pattern Recognition (CVPR), 2018
iLike: Integrating visual and textual features for vertical search
Y Chen, N Yu, B Luo, X Chen
Proceedings of the 18th ACM international conference on Multimedia, 221-230, 2010
Teaching Multiple Concepts to Forgetful Learners
A Hunziker, Y Chen, O Mac Aodha, M Gomez Rodriguez, A Krause, ...
Conference on Neural Information Processing Systems (NeurIPS), 2019
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests
Y Chen, SH Hassani, A Krause
Electronic Journal of Statistics 11 (2), 4969-5017, 2017
Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models
F Mansouri, Y Chen, A Vartanian, X Zhu, A Singla
Conference on Neural Information Processing Systems (NeurIPS), 2019
Learning shape analysis
M Brockschmidt, Y Chen, P Kohli, S Krishna, D Tarlow
International Static Analysis Symposium, 66-87, 2017
Near-Optimal Machine Teaching via Explanatory Teaching Sets
Y Chen, O Mac Aodha, S Su, P Perona, Y Yue
International Conference on Artificial Intelligence and Statistics (AISTATS), 2018
Privacy preserving group linkage
F Li, Y Chen, B Luo, D Lee, P Liu
International Conference on Scientific and Statistical Database Management …, 2011
An encoder-decoder based approach for anomaly detection with application in additive manufacturing
Y Tan, B Jin, A Nettekoven, Y Chen, Y Yue, U Topcu, ...
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection
B Jin, Y Chen, D Li, K Poolla, A Sangiovanni-Vincentelli
18th IEEE International Conference on Machine Learning and Applications …, 2019
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design
KK Yang, Y Chen, A Lee, Y Yue
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
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