Yuxin Chen

Cited by

	All	Since 2019
Citations	1594	1272
h-index	22	20
i10-index	33	30

300

150

225

20122013201420152016201720182019202020212022202320244 13 32 53 63 82 67 110 156 219 226 273 284

Public access

View all

29 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Yisong YueCalifornia Institute of Technology; Asari AI; Latitude AIVerified email at caltech.edu
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Adish SinglaTenured Faculty, Max Planck Institute for Software Systems (MPI-SWS), GermanyVerified email at mpi-sws.org
Baihong Jin (金柏宏)MillenniumVerified email at eecs.berkeley.edu
Alberto Sangiovanni VincentelliProfessor of EECS, University of California, BerkeleyVerified email at eecs.berkeley.edu
Pietro PeronaCalifornia Institute of TechnologyVerified email at caltech.edu
Oisin Mac AodhaReader (Associate Professor), University of EdinburghVerified email at ed.ac.uk
Bo LuoProfessor, The University of KansasVerified email at ku.edu
Jialin SongResearch Scientist, NVIDIAVerified email at nvidia.com
Amin KarbasiRobust Intelligence, Yale University (on leave)Verified email at yale.edu
Chaoqi WangUniversity of ChicagoVerified email at uchicago.edu
Morteza Haghir ChehreghaniChalmers University of TechnologyVerified email at chalmers.se
Siddhartha SrinivasaProfessor, University of WashingtonVerified email at cs.washington.edu
J. Andrew BagnellCarnegie Mellon UniversityVerified email at ri.cmu.edu
Chenhao TanUniversity of ChicagoVerified email at chenhaot.com
Xuewen ChenAIWAYSVerified email at ai-ways.com
Ufuk TopcuThe University of Texas at AustinVerified email at utexas.edu
Shervin JavdaniPhD Student, Robotics Institute, Carnegie Mellon UniversityVerified email at cmu.edu
Hamed HassaniUniversity of Pennsylvania (EE, CS, Stat)Verified email at seas.upenn.edu
Pushmeet KohliDeepMindVerified email at google.com

Yuxin Chen

University of Chicago, Assistant Professor of Computer Science

Verified email at uchicago.edu - Homepage

Active Learning Reinforcement Learning Bayesian Optimization


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization Y Chen, A Krause ICML, 2013	181	2013
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	136	2019
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	95	2022
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	83	2018
Sequential Information Maximization: When is Greedy Near-optimal? Y Chen, SH Hassani, A Karbasi, A Krause Conference on Learning Theory (COLT), 2015	79	2015
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	68	2019
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	67	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	66	2015
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	63	2014
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	53*	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	52	2018
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	50	2024
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	41	2019
S2a: secure smart household appliances Y Chen, B Luo Proceedings of the second ACM conference on Data and Application Security …, 2012	41	2012
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	40	2012
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	38	2019
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	34	2018
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	27	2017
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	27	2017
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	24	2019

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors