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ORCIDDuy M. H. Nguyen
Duy Minh Ho Nguyen
Person information
- affiliation: University of Stuttgart, Max Planck Research School for Intelligent Systems, Germany
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2020 – today
- 2026
[j7]Cuong Tran Van, Trong-Thang Pham, Ngoc Son Nguyen, Duy Minh Ho Nguyen, Ngan Le:
DuFal: Dual-Frequency-Aware Learning for High-Fidelity Extremely Sparse-view CBCT Reconstruction. Trans. Mach. Learn. Res. 2026 (2026)- [c21]Nhat Chung, Taisei Hanyu, Toan Nguyen, Huy Le, Frederick Bumgarner, Duy Minh Ho Nguyen, Khoa Vo, Kashu Yamazaki, Chase Rainwater, Tung Kieu, Anh Nguyen, Ngan Le:
Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective. AAAI 2026: 3407-3415 - [c20]Huy M. Le, Dat Tien Nguyen, Ngan T. T. Vo, Tuan D. Q. Nguyen, Nguyen Binh Le, Duy Minh Ho Nguyen, Daniel Sonntag, Lizi Liao, Binh T. Nguyen:
Reinforce Trustworthiness in Multimodal Emotional Support System. AAAI 2026: 31474-31482 - [c19]Dung Manh Nguyen, Duy M. H. Nguyen, Nghia Thi Mai, Kou Yamada:
Explainable Machine Learning for Predicting Poor Mobilizers in Allogeneic Donors for Hematopoietic Stem Cell Transplantation. ICOIN 2026: 606-609 - [i40]Cuong Tran Van, Trong-Thang Pham, Ngoc Son Nguyen, Duy Minh Ho Nguyen, Ngan Le:
DuFal: Dual-Frequency-Aware Learning for High-Fidelity Extremely Sparse-view CBCT Reconstruction. CoRR abs/2601.15416 (2026) - [i39]Duy M. H. Nguyen, Tuan A. Tran, Duong Nguyen, Siwei Xie, Trung Q. Nguyen, Mai T. N. Truong, Daniel Palenicek, An T. Le, Michael Barz, TrungTin Nguyen, Tuan Dam, Ngan Le, Minh Vu, Khoa D. Doan, Ngo Anh Vien, Pengtao Xie, James Zou, Daniel Sonntag, Jan Peters, Mathias Niepert:
StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models. CoRR abs/2603.07307 (2026) - [i38]Truong Nguyen, Tien-Phat Nguyen, Linh Ngo Van, Duy Minh Ho Nguyen, Khoa D. Doan, Trung Le:
TokenRatio: Principled Token-Level Preference Optimization via Ratio Matching. CoRR abs/2605.12288 (2026) - [i37]Tien-Phat Nguyen, Truong Nguyen, Thin Nguyen, Duy Minh Ho Nguyen, Ngoc-Thanh Dinh, Trung Le:
BSO: Safety Alignment Is Density Ratio Matching. CoRR abs/2605.12339 (2026) - [i36]Hoai-Chau Tran, Chi H. Nguyen, Duy M. H. Nguyen, Mathias Niepert, Fan Lai, Khoa D. Doan:
SparseSAM: Structured Sparsification of Activations in Segment Anything Models. CoRR abs/2605.17633 (2026) - [i35]Hao Vo, Khoa Vo, Phu Loc Nguyen, Sieu Tran, Duc Minh Nguyen, Ngo Xuan Cuong, Gladys Gawugah, Sreevenkata Anjani Tishita Godavarthi, Chase Rainwater, Nghi D. Q. Bui, Anh Nguyen, Duy Minh Ho Nguyen, Ngan Le:
DRIVESPATIAL: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving. CoRR abs/2605.23176 (2026) - [i34]Khanh D. Nguyen, Hung T. Ho, Chinh T. Nguyen, Thanh Q. Duong, Linh D. Le, Duy M. H. Nguyen, Vien A. Ngo, An T. Le:
vla.cpp: A Unified Inference Runtime for Vision-Language-Action Models. CoRR abs/2606.08094 (2026) - [i33]Duc Nguyen, Sieu Tran, Hao Vo, Khoa Vo, Duy Minh Ho Nguyen, Nghi D. Q. Bui, Anh Nguyen, Long Mai, Ngan Le:
TSA: Temporal Slot Activation for Persistent Object-Centric Video Representation. CoRR abs/2606.13714 (2026) - [i32]Duc Minh Nguyen, Bao-Ngoc Dao, Tung M. Luu, Binh Gia Nguyen, Vinh Tong, Anji Liu, Vu N. Duong, Dung D. Le, Daniel Sonntag, Trung Le, Ngan Le, Jan Peters, An Thai Le, Minh Nhat Vu, Mathias Niepert, Khoa D. Doan, Duy M. H. Nguyen, Ngo Anh Vien:
Self-Improving VLA Policies: Selected Diffusion Noise for Spurious-Robust Action Smoothing. CoRR abs/2606.14084 (2026) - [i31]Trong-Bao Ho, Quang-Tan Nguyen, Thien-Loc Ha, Gia-Binh Nguyen, Viet-Thanh Nguyen, Long Dinh, Minh N. Vu, Duy M. H. Nguyen, An Thai Le, Ngo Anh Vien:
Start Right, Arrive Right: Asynchronous Execution via Initial Noise Selection. CoRR abs/2606.19774 (2026) - [i30]Thien-Loc Ha, Quang-Tan Nguyen, Trong-Bao Ho, Long Dinh, Minh Duc Nguyen, Gia-Binh Nguyen, Pham Tri Quang, Minh N. Vu, Duy M. H. Nguyen, An Thai Le, Ngo Anh Vien:
EquiVLA: A General Framework for Rotationally Equivariant Vision-Language-Action Models. CoRR abs/2606.19784 (2026) - [i29]Gia-Binh Nguyen, Trong-Bao Ho, Thien-Loc Ha, Khoa Vo, Philip Lund Møller, Quang T. Nguyen, Long Dinh, Tung M. Luu, Tuan Dam, Vu Duong, Trung Le, Nghi D. Q. Bui, Minh Vu, Tran Nguyen Le, An Thai Le, Ngan Le, Daniel Sonntag, James Zou, Jan Peters, Duy M. H. Nguyen, Ngo Anh Vien:
Finetuning Vision-Language-Action Models Requires Fewer Layers Than You Think. CoRR abs/2606.20246 (2026) - [i28]Duc Minh Nguyen, Nghiem Tuong Diep, Binh Gia Nguyen, Trong-Bao Ho, Doanh Le, Tan Q. Nguyen, Thien-Loc Ha, Nhiem Tran, Bao Thach, Nhat X. Tran, Tuan A. Tran, Artur Habuda, Philip Lund Møller, Tran Nguyen Le, Daniel Sonntag, Matthias Niepert, Khoa D. Doan, Vu Duong, Hung Ngo, Minh N. Vu, Duy M. H. Nguyen, An Thai Le, Ngo Anh Vien:
FOCA: Future-Oriented Conditioning for Data-Efficient Vision-Language-Action Adaptation. CoRR abs/2606.20867 (2026) - [i27]Hao Vo, Phu Loc Nguyen, Khoa Vo, Sieu Tran, Duc Minh Nguyen, Ngo Xuan Cuong, Nghi D. Q. Bui, Anh Nguyen, Duy Minh Ho Nguyen, Ngan Le:
OmniSpace: Efficient Geometry Awareness for Autonomous Vehicles MLLMs. CoRR abs/2606.22617 (2026) - [i26]Minh-Loi Nguyen, Nghiem Tuong Diep, Hung Khang Nguyen, Minh Le, Doanh Le Thien, Hoang H. Tran, Dung D. Le, Vu N. Duong, Daniel Sonntag, An Thai Le, Duy Minh Ho Nguyen, Ngo Anh Vien, Tran Van Nhiem:
RoboGaze: Evaluating Robot World Models via Structured Vision-Language Analysis. CoRR abs/2606.28385 (2026) - 2025
- [j6]Anh-Tien Nguyen, Duy Minh Ho Nguyen, Nghiem Tuong Diep, Trung Quoc Nguyen, Nhat Ho, Jacqueline Michelle Metsch, Miriam Cindy Maurer, Daniel Sonntag, Hanibal Bohnenberger, Anne-Christin Hauschild:
MGPATH: A Vision-Language Model with Multi-Granular Prompt Learning for Few-Shot Whole Slide Pathology Classification. Trans. Mach. Learn. Res. 2025 (2025) - [c18]Hongzhuo Chen, Rahul Shukla, Ruiming Wu, Shu Yang, Duy Duong-Tran, Duy Minh Ho Nguyen, Mathias Niepert, Cameron Beeche, James C. Gee, Jeffrey T. Duda, Rakesh Sharma, Christos Davatzikos, Walter R. Witschey, Bojian Hou, Li Shen:
Adapting Vision-Language Models for 3D CT/MRI Understanding on PMBB via Slice Selection and Explanation Analysis. ICCVW 2025: 2294-2303 - [c17]Nghiem Tuong Diep, Huy Nguyen, Chau Nguyen, Minh Le, Duy Minh Ho Nguyen, Daniel Sonntag, Mathias Niepert, Nhat Ho:
On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation. ICML 2025 - [c16]Duy M. H. Nguyen, Nghiem Tuong Diep, Trung Nguyen, Hoang-Bao Le, Tai D. Nguyen, Anh-Tien Nguyen, TrungTin Nguyen, Nhat Ho, Pengtao Xie, Roger Wattenhofer, Daniel Sonntag, James Y. Zou, Mathias Niepert:
ExGra-Med: Extended Context Graph Alignment for Medical Vision-Language Models. NeurIPS 2025 - [c15]Phuc Minh Nguyen, Ngoc-Hieu Nguyen, Duy M. H. Nguyen, Anji Liu, An Mai, Nguyen Thanh Binh, Daniel Sonntag, Khoa D. Doan:
Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling. NeurIPS 2025 - [i25]Duy M. H. Nguyen, Hasan Md Tusfiqur Alam, Binh T. Nguyen, Devansh Srivastav
, Hans-Jürgen Profitlich, Ngan Le, Daniel Sonntag:
Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends. CoRR abs/2501.04073 (2025) - [i24]Nghiem Tuong Diep, Huy Nguyen, Chau Nguyen, Minh Le, Duy M. H. Nguyen, Daniel Sonntag, Mathias Niepert, Nhat Ho:
On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation. CoRR abs/2502.03029 (2025) - [i23]Anh-Tien Nguyen, Duy Minh Ho Nguyen, Nghiem Tuong Diep, Trung Quoc Nguyen, Nhat Ho, Jacqueline Michelle Metsch, Miriam Cindy Maurer, Daniel Sonntag, Hanibal Bohnenberger, Anne-Christin Hauschild:
MGPATH: Vision-Language Model with Multi-Granular Prompt Learning for Few-Shot WSI Classification. CoRR abs/2502.07409 (2025) - [i22]Duc Cao-Dinh, Khai Le-Duc, Anh Dao, Bach Phan Tat, Chris Ngo, Duy M. H. Nguyen, Nguyen X. Khanh, Thanh Nguyen-Tang:
Audio-3DVG: Unified Audio - Point Cloud Fusion for 3D Visual Grounding. CoRR abs/2507.00669 (2025) - [i21]Phuc Minh Nguyen, Chinh D. La, Duy M. H. Nguyen, Nitesh V. Chawla, Binh T. Nguyen, Khoa D. Doan:
The Reasoning Boundary Paradox: How Reinforcement Learning Constrains Language Models. CoRR abs/2510.02230 (2025) - [i20]Khai Le-Duc, Duy M. H. Nguyen, Phuong T. H. Trinh, Tien-Phat Nguyen, Nghiem Tuong Diep, An Ngo, Tung Vu, Trinh Vuong, Anh-Tien Nguyen, Mau Nguyen, Van Trung Hoang, Khai-Nguyen Nguyen, Hy Nguyen, Chris Ngo, Anji Liu, Nhat Ho, Anne-Christin Hauschild, Khanh Xuan Nguyen, Thanh Nguyen-Tang, Pengtao Xie, Daniel Sonntag, James Zou, Mathias Niepert, Anh Totti Nguyen:
S-Chain: Structured Visual Chain-of-Thought For Medicine. CoRR abs/2510.22728 (2025) - [i19]Tuan Anh Tran, Duy M. H. Nguyen, Hoai-Chau Tran, Michael Barz, Khoa D. Doan, Roger Wattenhofer, Ngo Anh Vien, Mathias Niepert, Daniel Sonntag, Paul Swoboda:
How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need? CoRR abs/2511.05449 (2025) - [i18]Huy M. Le, Dat Tien Nguyen, Ngan T. T. Vo, Tuan D. Q. Nguyen, Nguyen Binh Le, Duy Minh Ho Nguyen, Daniel Sonntag, Lizi Liao, Binh T. Nguyen:
Reinforcing Trustworthiness in Multimodal Emotional Support Systems. CoRR abs/2511.10011 (2025) - [i17]Nhat Chung, Taisei Hanyu, Toan Nguyen, Huy Le, Frederick Bumgarner, Duy Minh Ho Nguyen, Khoa Vo, Kashu Yamazaki, Chase Rainwater, Tung Kieu, Anh Nguyen, Ngan Le:
Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective. CoRR abs/2511.11478 (2025) - 2024
- [c14]Duy Minh Ho Nguyen, An Thai Le, Trung Quoc Nguyen, Nghiem Tuong Diep, Tai Nguyen, Duy Duong-Tran, Jan Peters, Li Shen, Mathias Niepert, Daniel Sonntag:
Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. ACML 2024: 687-702 - [c13]Duy Minh Ho Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert:
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. ICML 2024: 37736-37760 - [c12]Chau Tran, Duy M. H. Nguyen, Manh-Duy Nguyen, TrungTin Nguyen, Ngan Le, Pengtao Xie, Daniel Sonntag, James Y. Zou, Binh Nguyen, Mathias Niepert:
Accelerating Transformers with Spectrum-Preserving Token Merging. NeurIPS 2024 - [i16]Duy M. H. Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert:
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. CoRR abs/2402.01975 (2024) - [i15]Hoai-Chau Tran, Duy M. H. Nguyen, Duy M. Nguyen, TrungTin Nguyen, Ngan Le, Pengtao Xie, Daniel Sonntag, James Y. Zou, Binh T. Nguyen, Mathias Niepert:
Accelerating Transformers with Spectrum-Preserving Token Merging. CoRR abs/2405.16148 (2024) - [i14]Hoang H. Le, Duy M. H. Nguyen, Omair Shahzad Bhatti, László Kopácsi, Thinh P. Ngo, Binh T. Nguyen, Michael Barz, Daniel Sonntag:
I-MPN: Inductive Message Passing Network for Effective and Efficient Human-in-the-Loop Annotation of Mobile Eye Tracking Data. CoRR abs/2406.06239 (2024) - [i13]Duy M. H. Nguyen, An T. Le, Trung Quoc Nguyen, Nghiem Tuong Diep, Tai Nguyen, Duy Duong-Tran, Jan Peters, Li Shen, Mathias Niepert, Daniel Sonntag:
Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. CoRR abs/2407.04489 (2024) - [i12]Duy M. H. Nguyen, Nghiem Tuong Diep, Trung Q. Nguyen, Hoang-Bao Le, Tai Nguyen, Tien Nguyen, TrungTin Nguyen, Nhat Ho, Pengtao Xie, Roger Wattenhofer, James Zhou, Daniel Sonntag, Mathias Niepert:
LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model. CoRR abs/2410.02615 (2024) - 2023
- [c11]Duy M. H. Nguyen, Hoang Nguyen, Truong Thanh Nhat Mai, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag:
Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering. AAAI 2023: 14426-14435 - [c10]Michael Barz, Omair Shahzad Bhatti, Hasan Md Tusfiqur Alam, Duy Minh Ho Nguyen, Daniel Sonntag:
Interactive Fixation-to-AOI Mapping for Mobile Eye Tracking Data based on Few-Shot Image Classification. IUI Companion 2023: 175-178 - [c9]Duy M. H. Nguyen, Hoang Nguyen, Nghiem Tuong Diep, Tan Ngoc Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert:
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. NeurIPS 2023 - [i11]Duy M. H. Nguyen, Hoang Nguyen, Nghiem Tuong Diep, Tan Ngoc Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert:
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. CoRR abs/2306.11925 (2023) - [i10]Duy Minh Ho Nguyen, Tan Ngoc Pham, Nghiem Tuong Diep, Nghi Quoc Phan, Quang Pham, Vinh Tong, Binh T. Nguyen, Ngan Hoang Le, Nhat Ho, Pengtao Xie, Daniel Sonntag, Mathias Niepert:
On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation. CoRR abs/2311.11096 (2023) - 2022
- [j5]Duy M. H. Nguyen, Duy M. Nguyen, Truong Thanh Nhat Mai, Thu Nguyen, Khanh T. Tran, Anh Triet Nguyen, Bao T. Pham, Binh T. Nguyen:
ASMCNN: An efficient brain extraction using active shape model and convolutional neural networks. Inf. Sci. 591: 25-48 (2022) - [j4]Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu, Quang Pham, Manh-Duy Nguyen, Binh T. Nguyen, Daniel Sonntag:
TATL: Task agnostic transfer learning for skin attributes detection. Medical Image Anal. 78: 102359 (2022) - [c8]Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda:
LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking. CVPR 2022: 8856-8865 - [i9]Duy M. H. Nguyen, Hoang Nguyen, Mai Thanh Nhat Truong, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag:
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering. CoRR abs/2212.01893 (2022) - [i8]Hasan Md Tusfiqur Alam, Duy M. H. Nguyen, Mai Thanh Nhat Truong, Triet A. Nguyen, Binh T. Nguyen, Michael Barz, Hans-Jürgen Profitlich, Ngoc T. T. Than, Ngan Le, Pengtao Xie, Daniel Sonntag:
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading. CoRR abs/2212.14615 (2022) - 2021
- [j3]Thu Nguyen, Duy M. H. Nguyen, Huy Nguyen, Binh T. Nguyen, Bruce A. Wade:
EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data. Inf. Sci. 567: 1-22 (2021) - [c7]Duy M. H. Nguyen, Truong Thanh Nhat Mai, Ngoc T. T. Than, Alexander Prange, Daniel Sonntag:
Self-supervised Domain Adaptation for Diabetic Retinopathy Grading Using Vessel Image Reconstruction. KI 2021: 349-361 - [i7]Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu, Quang Pham, Manh-Duy Nguyen, Binh T. Nguyen, Daniel Sonntag:
TATL: Task Agnostic Transfer Learning for Skin Attributes Detection. CoRR abs/2104.01641 (2021) - [i6]Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh:
OASIS: An Active Framework for Set Inversion. CoRR abs/2105.15024 (2021) - [i5]Duy M. H. Nguyen, Truong Thanh Nhat Mai, Ngoc T. T. Than, Alexander Prange, Daniel Sonntag:
Self-Supervised Domain Adaptation for Diabetic Retinopathy Grading using Vessel Image Reconstruction. CoRR abs/2107.09372 (2021) - [i4]Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda:
LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking. CoRR abs/2111.11892 (2021) - 2020
- [j2]Lam Si Tung Ho, Binh T. Nguyen, Vu C. Dinh, Duy M. H. Nguyen:
Posterior concentration and fast convergence rates for generalized Bayesian learning. Inf. Sci. 538: 372-383 (2020) - [c6]Duy Minh Ho Nguyen, Abraham Obinwanne Ezema, Fabrizio Nunnari, Daniel Sonntag:
A Visually Explainable Learning System for Skin Lesion Detection Using Multiscale Input with Attention U-Net. KI 2020: 313-319 - [i3]Duy M. H. Nguyen, Huong Vu, Binh T. Nguyen, Fabrizio Nunnari, Daniel Sonntag:
Attention with Multiple Sources Knowledges for COVID-19 from CT Images. CoRR abs/2009.11008 (2020) - [i2]Thu Nguyen, Duy M. H. Nguyen, Huy Nguyen, Binh T. Nguyen, Bruce A. Wade:
EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data. CoRR abs/2009.11360 (2020)
2010 – 2019
- 2019
- [j1]Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh:
An active learning framework for set inversion. Knowl. Based Syst. 185 (2019) - [c5]Han K. Cao, Duyen T. Ly, Duy M. H. Nguyen, Binh T. Nguyen:
Automatically Generate Hymns Using Variational Attention Models. ISNN (2) 2019: 317-327 - 2018
- [c4]Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh:
OASIS: An Active Framework for Set Inversion. SoMeT 2018: 883-895 - 2017
- [c3]Duy M. H. Nguyen, Huy T. Vu, Quang Huy Ung, Binh T. Nguyen:
3D-Brain Segmentation Using Deep Neural Network and Gaussian Mixture Model. WACV 2017: 815-824 - 2016
- [c2]Vu C. Dinh, Lam Si Tung Ho, Binh T. Nguyen, Duy M. H. Nguyen:
Fast learning rates with heavy-tailed losses. NIPS 2016: 505-513 - [i1]Vu C. Dinh, Lam Si Tung Ho, Duy M. H. Nguyen, Binh T. Nguyen:
Fast learning rates with heavy-tailed losses. CoRR abs/1609.09481 (2016) - 2015
- [c1]Vu C. Dinh, Lam Si Tung Ho, Viet Cuong Nguyen, Duy M. H. Nguyen, Binh T. Nguyen:
Learning from Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers. TAMC 2015: 375-387
Coauthor Index
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