Yuheng Bu
Title
Cited by
Cited by
Year
Tightening Mutual Information Based Bounds on Generalization Error
Y Bu, S Zou, VV Veeravalli
IEEE Journal on Selected Areas in Information Theory, 2020
402020
Tightening mutual information based bounds on generalization error
Y Bu, S Zou, VV Veeravalli
2019 IEEE International Symposium on Information Theory (ISIT), 587-591, 2019
402019
Estimation of KL Divergence: Optimal Minimax Rate
Y Bu, S Zou, Y Liang, V Veeravalli
IEEE Transactions on Information Theory 64 (4), 2648-2674, 2018
352018
Estimation of KL divergence between large-alphabet distributions
Y Bu, S Zou, Y Liang, VV Veeravalli
2016 IEEE International Symposium on Information Theory (ISIT), 1118-1122, 2016
212016
Linear-complexity exponentially-consistent tests for universal outlying sequence detection
Y Bu, S Zou, V Veeravalli
IEEE Transactions on Signal Processing, 2019
162019
Linear-complexity exponentially-consistent tests for universal outlying sequence detection
Y Bu, S Zou, VV Veeravalli
2017 IEEE International Symposium on Information Theory (ISIT), 988 - 992, 2017
162017
Universal outlying sequence detection for continuous observations
Y Bu, S Zou, Y Liang, VV Veeravalli
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
102016
Information-theoretic understanding of population risk improvement with model compression
Y Bu, W Gao, S Zou, V Veeravalli
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3300-3307, 2020
52020
Active and adaptive sequential learning
Y Bu, J Lu, VV Veeravalli
arXiv preprint arXiv:1805.11710, 2018
42018
Model change detection with application to machine learning
Y Bu, J Lu, VV Veeravalli
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
22019
Active and Adaptive Sequential Learning with Per Time-step Excess Risk Guarantees
Y Bu, J Lu, VV Veeravalli
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1606-1610, 2019
12019
Adaptive sequential machine learning
C Wilson, Y Bu, VV Veeravalli
Sequential Analysis 38 (4), 545-568, 2019
12019
Active Learning in Recommendation Systems with Multi-level User Preferences
Y Bu, K Small
arXiv preprint arXiv: 1811.12591, 2018
12018
A Maximal Correlation Approach to Imposing Fairness in Machine Learning
J Lee, Y Bu, P Sattigeri, R Panda, G Wornell, L Karlinsky, R Feris
arXiv preprint arXiv:2012.15259, 2020
2020
Information-theoretic bounds in learning algorithms
Y Bu
University of Illinois at Urbana-Champaign, 2019
2019
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Articles 1–15