Követés
Yuxin Chen
Yuxin Chen
University of Chicago, Assistant Professor of Computer Science
E-mail megerősítve itt: uchicago.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization
Y Chen, A Krause
ICML, 2013
1812013
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
1442019
Rethinking explainability as a dialogue: A practitioner's perspective
H Lakkaraju, D Slack, Y Chen, C Tan, S Singh
arXiv preprint arXiv:2202.01875, 2022
972022
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
832018
Sequential Information Maximization: When is Greedy Near-optimal?
Y Chen, SH Hassani, A Karbasi, A Krause
Conference on Learning Theory (COLT), 2015
792015
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
732019
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
672015
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
662014
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
642014
Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints
C Wang, Y Jiang, C Yang, H Liu, Y Chen
International Conference on Learning Representations, 2024
632024
Teaching multiple concepts to a forgetful learner
A Hunziker, Y Chen, O Mac Aodha, M Gomez Rodriguez, A Krause, ...
Advances in neural information processing systems 32, 2019
52*2019
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
Advances in Neural Information Processing Systems 31, 2018
522018
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
422019
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
412012
S2A: Secure smart household appliances
Y Chen, B Luo
Proceedings of the second ACM conference on Data and Application Security …, 2012
412012
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
382019
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
352018
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
272017
Learning shape analysis
M Brockschmidt, Y Chen, P Kohli, S Krishna, D Tarlow
Static Analysis: 24th International Symposium, SAS 2017, New York, NY, USA …, 2017
262017
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
242019
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20