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ORCIDYuheng Bu
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2020 – today
- 2024
[j6]Gholamali Aminian
, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell:
Information-Theoretic Characterizations of Generalization Error for the Gibbs Algorithm. IEEE Trans. Inf. Theory 70(1): 632-655 (2024)- [c28]Haobo Chen, Gregory W. Wornell, Yuheng Bu:
Gibbs-Based Information Criteria and the Over-Parameterized Regime. AISTATS 2024: 4501-4509 - [c27]Yepeng Liu, Yuheng Bu:
Adaptive Text Watermark for Large Language Models. ICML 2024 - [c26]Jongha Jon Ryu, Xiangxiang Xu, Hasan Sabri Melihcan Erol, Yuheng Bu, Lizhong Zheng, Gregory W. Wornell:
Operator SVD with Neural Networks via Nested Low-Rank Approximation. ICML 2024 - [c25]Chongyang Shi, Yuheng Bu, Jie Fu:
Information-Theoretic Opacity-Enforcement in Markov Decision Processes. IJCAI 2024: 6779-6787 - [c24]Abhin Shah, Maohao Shen, Jongha Jon Ryu, Subhro Das, Prasanna Sattigeri, Yuheng Bu, Gregory W. Wornell:
Group Fairness with Uncertain Sensitive Attributes. ISIT 2024: 208-213 - [c23]Yuheng Bu:
Towards Optimal Inverse Temperature in the Gibbs Algorithm. ISIT 2024: 2257-2262 - [i34]Firas Laakom, Yuheng Bu, Moncef Gabbouj:
Class-wise Generalization Error: an Information-Theoretic Analysis. CoRR abs/2401.02904 (2024) - [i33]Yepeng Liu, Yuheng Bu:
Adaptive Text Watermark for Large Language Models. CoRR abs/2401.13927 (2024) - [i32]Jongha Jon Ryu, Xiangxiang Xu, H. S. Melihcan Erol, Yuheng Bu, Lizhong Zheng, Gregory W. Wornell:
Operator SVD with Neural Networks via Nested Low-Rank Approximation. CoRR abs/2402.03655 (2024) - [i31]Jongha Jon Ryu, Maohao Shen, Soumya Ghosh, Yuheng Bu, Prasanna Sattigeri, Subhro Das, Gregory W. Wornell:
Improved Evidential Deep Learning via a Mixture of Dirichlet Distributions. CoRR abs/2402.06160 (2024) - [i30]Chongyang Shi, Yuheng Bu, Jie Fu:
Information-Theoretic Opacity-Enforcement in Markov Decision Processes. CoRR abs/2405.00157 (2024) - [i29]Haobo Chen, Gholamali Aminian, Yuheng Bu:
An Algorithm for Computing the Capacity of Symmetrized KL Information for Discrete Channels. CoRR abs/2407.13436 (2024) - [i28]Dingyi Zhuang, Yuheng Bu, Guang Wang, Shenhao Wang, Jinhua Zhao:
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks. CoRR abs/2409.08766 (2024) - [i27]Haiyun He, Yepeng Liu, Ziqiao Wang, Yongyi Mao, Yuheng Bu:
Universally Optimal Watermarking Schemes for LLMs: from Theory to Practice. CoRR abs/2410.02890 (2024) - 2023
- [c22]Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell:
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model. AAAI 2023: 9772-9781 - [c21]Haiyun He, Gholamali Aminian, Yuheng Bu, Miguel R. D. Rodrigues, Vincent Y. F. Tan:
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? AISTATS 2023: 8494-8520 - [c20]Maohao Shen, Soumya Ghosh, Prasanna Sattigeri, Subhro Das, Yuheng Bu, Gregory W. Wornell:
Reliable Gradient-free and Likelihood-free Prompt Tuning. EACL (Findings) 2023: 2371-2384 - [c19]Maohao Shen, Yuheng Bu, Gregory W. Wornell:
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation. ICML 2023: 30976-30991 - [c18]Yuheng Bu, Harsha Vardhan Tetali, Gholamali Aminian, Miguel R. D. Rodrigues, Gregory W. Wornell:
On the Generalization Error of Meta Learning for the Gibbs Algorithm. ISIT 2023: 2488-2493 - [c17]Amir Weiss, Alejandro Lancho, Yuheng Bu, Gregory W. Wornell:
A Bilateral Bound on the Mean-Square Error for Estimation in Model Mismatch. ISIT 2023: 2655-2660 - [i26]Abhin Shah, Maohao Shen, Jongha Jon Ryu, Subhro Das, Prasanna Sattigeri, Yuheng Bu, Gregory W. Wornell:
Group Fairness with Uncertainty in Sensitive Attributes. CoRR abs/2302.08077 (2023) - [i25]Yuheng Bu, Harsha Vardhan Tetali, Gholamali Aminian, Miguel R. D. Rodrigues, Gregory W. Wornell:
On the Generalization Error of Meta Learning for the Gibbs Algorithm. CoRR abs/2304.14332 (2023) - [i24]Maohao Shen, Soumya Ghosh, Prasanna Sattigeri, Subhro Das, Yuheng Bu, Gregory W. Wornell:
Reliable Gradient-free and Likelihood-free Prompt Tuning. CoRR abs/2305.00593 (2023) - [i23]Amir Weiss, Alejandro Lancho, Yuheng Bu, Gregory W. Wornell:
A Bilateral Bound on the Mean-Square Error for Estimation in Model Mismatch. CoRR abs/2305.08207 (2023) - [i22]Bo Hu, Yuheng Bu, José C. Príncipe:
Feature Learning in Image Hierarchies using Functional Maximal Correlation. CoRR abs/2305.20074 (2023) - [i21]Haobo Chen, Yuheng Bu, Gregory W. Wornell:
SGLD-Based Information Criteria and the Over-Parameterized Regime. CoRR abs/2306.05583 (2023) - 2022
- [j5]Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Schmidt Feris:
A Maximal Correlation Framework for Fair Machine Learning. Entropy 24(4): 461 (2022) - [c16]Yuheng Bu, Gholamali Aminian, Laura Toni, Gregory W. Wornell, Miguel R. D. Rodrigues:
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm. AISTATS 2022: 8673-8699 - [c15]Alejandro Lancho, Amir Weiss, Gary C. F. Lee, Jennifer Tang, Yuheng Bu, Yury Polyanskiy, Gregory W. Wornell:
Data-Driven Blind Synchronization and Interference Rejection for Digital Communication Signals. GLOBECOM 2022: 2296-2302 - [c14]Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Feris:
A Maximal Correlation Approach to Imposing Fairness in Machine Learning. ICASSP 2022: 3523-3527 - [c13]Abhin Shah, Yuheng Bu, Joshua K. Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell:
Selective Regression under Fairness Criteria. ICML 2022: 19598-19615 - [c12]Gholamali Aminian, Yuheng Bu, Gregory W. Wornell, Miguel R. D. Rodrigues:
Tighter Expected Generalization Error Bounds via Convexity of Information Measures. ISIT 2022: 2481-2486 - [c11]Gary C. F. Lee, Amir Weiss, Alejandro Lancho, Jennifer Tang, Yuheng Bu, Yury Polyanskiy, Gregory W. Wornell:
Exploiting Temporal Structures of Cyclostationary Signals for Data-Driven Single-Channel Source Separation. MLSP 2022: 1-6 - [i20]Maohao Shen, Yuheng Bu, Gregory W. Wornell:
On the Benefits of Selectivity in Pseudo-Labeling for Unsupervised Multi-Source-Free Domain Adaptation. CoRR abs/2202.00796 (2022) - [i19]Gholamali Aminian, Yuheng Bu, Gregory W. Wornell, Miguel R. D. Rodrigues:
Tighter Expected Generalization Error Bounds via Convexity of Information Measures. CoRR abs/2202.12150 (2022) - [i18]Gary C. F. Lee, Amir Weiss, Alejandro Lancho, Jennifer Tang, Yuheng Bu, Yury Polyanskiy, Gregory W. Wornell:
Exploiting Temporal Structures of Cyclostationary Signals for Data-Driven Single-Channel Source Separation. CoRR abs/2208.10325 (2022) - [i17]Alejandro Lancho, Amir Weiss, Gary C. F. Lee, Jennifer Tang, Yuheng Bu, Yury Polyanskiy, Gregory W. Wornell:
Data-Driven Blind Synchronization and Interference Rejection for Digital Communication Signals. CoRR abs/2209.04871 (2022) - [i16]Haiyun He, Gholamali Aminian, Yuheng Bu, Miguel R. D. Rodrigues, Vincent Y. F. Tan:
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? CoRR abs/2210.08188 (2022) - [i15]Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell:
Information-theoretic Characterizations of Generalization Error for the Gibbs Algorithm. CoRR abs/2210.09864 (2022) - [i14]Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell:
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model. CoRR abs/2212.07359 (2022) - 2021
- [j4]Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli:
Population Risk Improvement with Model Compression: An Information-Theoretic Approach. Entropy 23(10): 1255 (2021) - [c10]Joshua K. Lee, Yuheng Bu, Deepta Rajan, Prasanna Sattigeri, Rameswar Panda, Subhro Das, Gregory W. Wornell:
Fair Selective Classification Via Sufficiency. ICML 2021: 6076-6086 - [c9]Yuheng Bu, Tony Wang, Gregory W. Wornell:
SDP Methods for Sensitivity-Constrained Privacy Funnel and Information Bottleneck Problems. ISIT 2021: 49-54 - [c8]Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell:
An Exact Characterization of the Generalization Error for the Gibbs Algorithm. NeurIPS 2021: 8106-8118 - [i13]Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell:
Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information. CoRR abs/2107.13656 (2021) - [i12]Abhin Shah, Yuheng Bu, Joshua Ka-Wing Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell:
Selective Regression Under Fairness Criteria. CoRR abs/2110.15403 (2021) - [i11]Yuheng Bu, Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell:
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm. CoRR abs/2111.01635 (2021) - 2020
- [j3]Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli:
Tightening Mutual Information-Based Bounds on Generalization Error. IEEE J. Sel. Areas Inf. Theory 1(1): 121-130 (2020) - [c7]Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli:
Information-Theoretic Understanding of Population Risk Improvement with Model Compression. AAAI 2020: 3300-3307 - [i10]Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Feris:
A Maximal Correlation Approach to Imposing Fairness in Machine Learning. CoRR abs/2012.15259 (2020)
2010 – 2019
- 2019
- [b1]Yuheng Bu:
Information-theoretic bounds in learning algorithms. University of Illinois Urbana-Champaign, USA, 2019 - [j2]Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli:
Linear-Complexity Exponentially-Consistent Tests for Universal Outlying Sequence Detection. IEEE Trans. Signal Process. 67(8): 2115-2128 (2019) - [c6]Yuheng Bu, Jiaxun Lu, Venugopal V. Veeravalli:
Active and Adaptive Sequential Learning with Per Time-step Excess Risk Guarantees. ACSSC 2019: 1606-1610 - [c5]Yuheng Bu, Jiaxun Lu, Venugopal V. Veeravalli:
Model Change Detection with Application to Machine Learning. ICASSP 2019: 5341-5346 - [c4]Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli:
Tightening Mutual Information Based Bounds on Generalization Error. ISIT 2019: 587-591 - [i9]Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli:
Tightening Mutual Information Based Bounds on Generalization Error. CoRR abs/1901.04609 (2019) - [i8]Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli:
Information-Theoretic Understanding of Population Risk Improvement with Model Compression. CoRR abs/1901.09421 (2019) - [i7]Craig Wilson, Yuheng Bu, Venugopal V. Veeravalli:
Adaptive Sequential Machine Learning. CoRR abs/1904.02773 (2019) - 2018
- [j1]Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli:
Estimation of KL Divergence: Optimal Minimax Rate. IEEE Trans. Inf. Theory 64(4): 2648-2674 (2018) - [i6]Yuheng Bu, Jiaxun Lu, Venugopal V. Veeravalli:
Active and Adaptive Sequential learning. CoRR abs/1805.11710 (2018) - [i5]Yuheng Bu, Jiaxun Lu, Venugopal V. Veeravalli:
Model change detection with application to machine learning. CoRR abs/1811.07957 (2018) - [i4]Yuheng Bu, Kevin Small:
Active Learning in Recommendation Systems with Multi-level User Preferences. CoRR abs/1811.12591 (2018) - 2017
- [c3]Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli:
Linear-complexity exponentially-consistent tests for universal outlying sequence detection. ISIT 2017: 988-992 - [i3]Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli:
Linear Complexity Exponentially Consistent Tests for Outlying Sequence Detection. CoRR abs/1701.06084 (2017) - 2016
- [c2]Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli:
Universal outlying sequence detection for continuous observations. ICASSP 2016: 4254-4258 - [c1]Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli:
Estimation of KL divergence between large-alphabet distributions. ISIT 2016: 1118-1122 - [i2]Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli:
Estimation of KL Divergence: Optimal Minimax Rate. CoRR abs/1607.02653 (2016) - 2015
- [i1]Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli:
Universal Outlying sequence detection For Continuous Observations. CoRR abs/1509.07040 (2015)
Coauthor Index
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last updated on 2024-11-08 20:32 CET by the dblp team
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