BibTeX records: Nghia Hoang

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@inproceedings{DBLP:conf/nips/DaoNNH24,
  author       = {Cuong Dao and
                  Phi Le Nguyen and
                  Truong Thao Nguyen and
                  Nghia Hoang},
  editor       = {Amir Globersons and
                  Lester Mackey and
                  Danielle Belgrave and
                  Angela Fan and
                  Ulrich Paquet and
                  Jakub M. Tomczak and
                  Cheng Zhang},
  title        = {Incorporating Surrogate Gradient Norm to Improve Offline Optimization
                  Techniques},
  booktitle    = {Advances in Neural Information Processing Systems 38: Annual Conference
                  on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver,
                  BC, Canada, December 10 - 15, 2024},
  year         = {2024},
  url          = {http://papers.nips.cc/paper\_files/paper/2024/hash/0f588c9d9fa34762362697c1dd463294-Abstract-Conference.html},
  timestamp    = {Thu, 13 Feb 2025 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/nips/DaoNNH24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/nips/SimZHXLJ23,
  author       = {Rachael Hwee Ling Sim and
                  Yehong Zhang and
                  Nghia Hoang and
                  Xinyi Xu and
                  Bryan Kian Hsiang Low and
                  Patrick Jaillet},
  editor       = {Alice Oh and
                  Tristan Naumann and
                  Amir Globerson and
                  Kate Saenko and
                  Moritz Hardt and
                  Sergey Levine},
  title        = {Incentives in Private Collaborative Machine Learning},
  booktitle    = {Advances in Neural Information Processing Systems 36: Annual Conference
                  on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans,
                  LA, USA, December 10 - 16, 2023},
  year         = {2023},
  url          = {http://papers.nips.cc/paper\_files/paper/2023/hash/180f1a1de4244c009ff0848c55ae54a5-Abstract-Conference.html},
  timestamp    = {Fri, 01 Mar 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/nips/SimZHXLJ23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2310-19251,
  author       = {Ziqian Lin and
                  Hao Ding and
                  Nghia Hoang and
                  Branislav Kveton and
                  Anoop Deoras and
                  Hao Wang},
  title        = {Pre-trained Recommender Systems: {A} Causal Debiasing Perspective},
  journal      = {CoRR},
  volume       = {abs/2310.19251},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2310.19251},
  doi          = {10.48550/ARXIV.2310.19251},
  eprinttype    = {arXiv},
  eprint       = {2310.19251},
  timestamp    = {Mon, 22 Jul 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2310-19251.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/nips/HoangHPW20,
  author       = {Quang Minh Hoang and
                  Nghia Hoang and
                  Hai Pham and
                  David P. Woodruff},
  editor       = {Hugo Larochelle and
                  Marc'Aurelio Ranzato and
                  Raia Hadsell and
                  Maria{-}Florina Balcan and
                  Hsuan{-}Tien Lin},
  title        = {Revisiting the Sample Complexity of Sparse Spectrum Approximation
                  of Gaussian Processes},
  booktitle    = {Advances in Neural Information Processing Systems 33: Annual Conference
                  on Neural Information Processing Systems 2020, NeurIPS 2020, December
                  6-12, 2020, virtual},
  year         = {2020},
  url          = {https://proceedings.neurips.cc/paper/2020/hash/95b431e51fc53692913da5263c214162-Abstract.html},
  timestamp    = {Tue, 19 Jan 2021 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/nips/HoangHPW20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2006-09181,
  author       = {Nathan Fulton and
                  Nathan Hunt and
                  Nghia Hoang and
                  Subhro Das},
  title        = {Formal Verification of End-to-End Learning in Cyber-Physical Systems:
                  Progress and Challenges},
  journal      = {CoRR},
  volume       = {abs/2006.09181},
  year         = {2020},
  url          = {https://arxiv.org/abs/2006.09181},
  eprinttype    = {arXiv},
  eprint       = {2006.09181},
  timestamp    = {Wed, 19 May 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2006-09181.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2007-01223,
  author       = {Nathan Hunt and
                  Nathan Fulton and
                  Sara Magliacane and
                  Nghia Hoang and
                  Subhro Das and
                  Armando Solar{-}Lezama},
  title        = {Verifiably Safe Exploration for End-to-End Reinforcement Learning},
  journal      = {CoRR},
  volume       = {abs/2007.01223},
  year         = {2020},
  url          = {https://arxiv.org/abs/2007.01223},
  eprinttype    = {arXiv},
  eprint       = {2007.01223},
  timestamp    = {Mon, 06 Jul 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2007-01223.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/iccv/Zhao0CHXKL19,
  author       = {Pu Zhao and
                  Sijia Liu and
                  Pin{-}Yu Chen and
                  Nghia Hoang and
                  Kaidi Xu and
                  Bhavya Kailkhura and
                  Xue Lin},
  title        = {On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free
                  Optimization and Operator Splitting Method},
  booktitle    = {2019 {IEEE/CVF} International Conference on Computer Vision, {ICCV}
                  2019, Seoul, Korea (South), October 27 - November 2, 2019},
  pages        = {121--130},
  publisher    = {{IEEE}},
  year         = {2019},
  url          = {https://doi.org/10.1109/ICCV.2019.00021},
  doi          = {10.1109/ICCV.2019.00021},
  timestamp    = {Mon, 10 Mar 2025 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/iccv/Zhao0CHXKL19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-1907-11684,
  author       = {Pu Zhao and
                  Sijia Liu and
                  Pin{-}Yu Chen and
                  Nghia Hoang and
                  Kaidi Xu and
                  Bhavya Kailkhura and
                  Xue Lin},
  title        = {On the Design of Black-box Adversarial Examples by Leveraging Gradient-free
                  Optimization and Operator Splitting Method},
  journal      = {CoRR},
  volume       = {abs/1907.11684},
  year         = {2019},
  url          = {http://arxiv.org/abs/1907.11684},
  eprinttype    = {arXiv},
  eprint       = {1907.11684},
  timestamp    = {Mon, 10 Mar 2025 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1907-11684.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}