Artikelen met mandaten voor openbare toegang - Yuxin ChenMeer informatie
Ergens beschikbaar: 29
Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization
Y Chen, A Krause
ICML, 2013
Mandaten: Swiss National Science Foundation
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
Mandaten: US National Science Foundation, Swiss National Science Foundation
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
Mandaten: Swiss National Science Foundation
Sequential Information Maximization: When is Greedy Near-optimal?
Y Chen, SH Hassani, A Karbasi, A Krause
Conference on Learning Theory (COLT), 2015
Mandaten: European Commission
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
Mandaten: US National Science Foundation, Swiss National Science Foundation, National …
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
Mandaten: European Commission
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
Mandaten: European Commission
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
Mandaten: Swiss National Science Foundation, European Commission
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
Mandaten: US National Science Foundation, Swiss National Science Foundation
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
Mandaten: Swiss National Science Foundation
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
Mandaten: US National Science Foundation, US Department of Energy, National Research …
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
Mandaten: US National Science Foundation
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
Mandaten: Swiss National Science Foundation
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
Mandaten: European Commission
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
Mandaten: US National Science Foundation, Swiss National Science Foundation, US …
Learning to Make Decisions via Submodular Regularization
A Alieva, A Aceves, J Song, S Mayo, Y Yue, Y Chen
International Conference on Learning Representations, 2021
Mandaten: US National Science Foundation, US National Institutes of Health
Landmark Ordinal Embedding
N Ghosh, Y Chen, Y Yue
Conference on Neural Information Processing Systems (NeurIPS), 2019
Mandaten: Swiss National Science Foundation
Teaching an Active Learner with Contrastive Examples
C Wang, A Singla, Y Chen
Conference on Neural Information Processing Systems (NeurIPS), 2021
Mandaten: US National Science Foundation
The teaching dimension of kernel perceptron
A Kumar, H Zhang, A Singla, Y Chen
International Conference on Artificial Intelligence and Statistics, 2071-2079, 2021
Mandaten: US National Science Foundation
Active policy improvement from multiple black-box oracles
X Liu, T Yoneda, C Wang, M Walter, Y Chen
International Conference on Machine Learning, 22320-22337, 2023
Mandaten: US National Science Foundation, US Department of Energy
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