BibTeX records: Hippolyt Ritter

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@inproceedings{DBLP:conf/icassp/WangKDRECXMK23,
  author       = {Hang Wang and
                  Sahar Karami and
                  Ousmane Dia and
                  Hippolyt Ritter and
                  Ehsan Emamjomeh{-}Zadeh and
                  Jiahui Chen and
                  Zhen Xiang and
                  David J. Miller and
                  George Kesidis},
  title        = {Training Set Cleansing of Backdoor Poisoning by Self-Supervised Representation
                  Learning},
  booktitle    = {{IEEE} International Conference on Acoustics, Speech and Signal Processing
                  {ICASSP} 2023, Rhodes Island, Greece, June 4-10, 2023},
  pages        = {1--5},
  publisher    = {{IEEE}},
  year         = {2023},
  url          = {https://doi.org/10.1109/ICASSP49357.2023.10097244},
  doi          = {10.1109/ICASSP49357.2023.10097244},
  timestamp    = {Sun, 19 Jan 2025 13:18:24 +0100},
  biburl       = {https://dblp.org/rec/conf/icassp/WangKDRECXMK23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/mlsys/RitterK22,
  author       = {Hippolyt Ritter and
                  Theofanis Karaletsos},
  editor       = {Diana Marculescu and
                  Yuejie Chi and
                  Carole{-}Jean Wu},
  title        = {TyXe: Pyro-based Bayesian neural nets for Pytorch},
  booktitle    = {Proceedings of the Fifth Conference on Machine Learning and Systems,
                  MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022},
  publisher    = {mlsys.org},
  year         = {2022},
  url          = {https://proceedings.mlsys.org/paper\_files/paper/2022/hash/14bc46029b7ac590f56a203e0a3ef586-Abstract.html},
  timestamp    = {Fri, 28 Jun 2024 10:41:23 +0200},
  biburl       = {https://dblp.org/rec/conf/mlsys/RitterK22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/ManousakasRK22,
  author       = {Dionysis Manousakas and
                  Hippolyt Ritter and
                  Theofanis Karaletsos},
  editor       = {Sanmi Koyejo and
                  S. Mohamed and
                  A. Agarwal and
                  Danielle Belgrave and
                  K. Cho and
                  A. Oh},
  title        = {Black-box coreset variational inference},
  booktitle    = {Advances in Neural Information Processing Systems 35: Annual Conference
                  on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans,
                  LA, USA, November 28 - December 9, 2022},
  year         = {2022},
  url          = {http://papers.nips.cc/paper\_files/paper/2022/hash/dce5d66bf88b7b7d0f11fbd9c9f16620-Abstract-Conference.html},
  timestamp    = {Mon, 08 Jan 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/nips/ManousakasRK22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2210-10272,
  author       = {Hang Wang and
                  Sahar Karami and
                  Ousmane Dia and
                  Hippolyt Ritter and
                  Ehsan Emamjomeh{-}Zadeh and
                  Jiahui Chen and
                  Zhen Xiang and
                  David J. Miller and
                  George Kesidis},
  title        = {Training set cleansing of backdoor poisoning by self-supervised representation
                  learning},
  journal      = {CoRR},
  volume       = {abs/2210.10272},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2210.10272},
  doi          = {10.48550/ARXIV.2210.10272},
  eprinttype    = {arXiv},
  eprint       = {2210.10272},
  timestamp    = {Mon, 20 Jan 2025 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2210-10272.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2211-02377,
  author       = {Dionysis Manousakas and
                  Hippolyt Ritter and
                  Theofanis Karaletsos},
  title        = {Black-box Coreset Variational Inference},
  journal      = {CoRR},
  volume       = {abs/2211.02377},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2211.02377},
  doi          = {10.48550/ARXIV.2211.02377},
  eprinttype    = {arXiv},
  eprint       = {2211.02377},
  timestamp    = {Thu, 10 Nov 2022 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2211-02377.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YapRB21,
  author       = {Pau Ching Yap and
                  Hippolyt Ritter and
                  David Barber},
  editor       = {Marina Meila and
                  Tong Zhang},
  title        = {Addressing Catastrophic Forgetting in Few-Shot Problems},
  booktitle    = {Proceedings of the 38th International Conference on Machine Learning,
                  {ICML} 2021, 18-24 July 2021, Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {139},
  pages        = {11909--11919},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {http://proceedings.mlr.press/v139/yap21a.html},
  timestamp    = {Wed, 25 Aug 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/icml/YapRB21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/RitterKZL21,
  author       = {Hippolyt Ritter and
                  Martin Kukla and
                  Cheng Zhang and
                  Yingzhen Li},
  editor       = {Marc'Aurelio Ranzato and
                  Alina Beygelzimer and
                  Yann N. Dauphin and
                  Percy Liang and
                  Jennifer Wortman Vaughan},
  title        = {Sparse Uncertainty Representation in Deep Learning with Inducing Weights},
  booktitle    = {Advances in Neural Information Processing Systems 34: Annual Conference
                  on Neural Information Processing Systems 2021, NeurIPS 2021, December
                  6-14, 2021, virtual},
  pages        = {6515--6528},
  year         = {2021},
  url          = {https://proceedings.neurips.cc/paper/2021/hash/334467d41d5cf21e234465a1530ba647-Abstract.html},
  timestamp    = {Tue, 03 May 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/RitterKZL21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2105-14594,
  author       = {Hippolyt Ritter and
                  Martin Kukla and
                  Cheng Zhang and
                  Yingzhen Li},
  title        = {Sparse Uncertainty Representation in Deep Learning with Inducing Weights},
  journal      = {CoRR},
  volume       = {abs/2105.14594},
  year         = {2021},
  url          = {https://arxiv.org/abs/2105.14594},
  eprinttype    = {arXiv},
  eprint       = {2105.14594},
  timestamp    = {Thu, 05 Jan 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2105-14594.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2110-00276,
  author       = {Hippolyt Ritter and
                  Theofanis Karaletsos},
  title        = {TyXe: Pyro-based Bayesian neural nets for Pytorch},
  journal      = {CoRR},
  volume       = {abs/2110.00276},
  year         = {2021},
  url          = {https://arxiv.org/abs/2110.00276},
  eprinttype    = {arXiv},
  eprint       = {2110.00276},
  timestamp    = {Mon, 25 Oct 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2110-00276.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2005-00146,
  author       = {Pau Ching Yap and
                  Hippolyt Ritter and
                  David Barber},
  title        = {Bayesian Online Meta-Learning with Laplace Approximation},
  journal      = {CoRR},
  volume       = {abs/2005.00146},
  year         = {2020},
  url          = {https://arxiv.org/abs/2005.00146},
  eprinttype    = {arXiv},
  eprint       = {2005.00146},
  timestamp    = {Fri, 08 May 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2005-00146.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/entropy/KunzeKRB19,
  author       = {Julius Kunze and
                  Louis Kirsch and
                  Hippolyt Ritter and
                  David Barber},
  title        = {Gaussian Mean Field Regularizes by Limiting Learned Information},
  journal      = {Entropy},
  volume       = {21},
  number       = {8},
  pages        = {758},
  year         = {2019},
  url          = {https://doi.org/10.3390/e21080758},
  doi          = {10.3390/E21080758},
  timestamp    = {Fri, 25 Dec 2020 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/entropy/KunzeKRB19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1902-04340,
  author       = {Julius Kunze and
                  Louis Kirsch and
                  Hippolyt Ritter and
                  David Barber},
  title        = {Gaussian Mean Field Regularizes by Limiting Learned Information},
  journal      = {CoRR},
  volume       = {abs/1902.04340},
  year         = {2019},
  url          = {http://arxiv.org/abs/1902.04340},
  eprinttype    = {arXiv},
  eprint       = {1902.04340},
  timestamp    = {Tue, 21 May 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1902-04340.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iclr/RitterBB18,
  author       = {Hippolyt Ritter and
                  Aleksandar Botev and
                  David Barber},
  title        = {A Scalable Laplace Approximation for Neural Networks},
  booktitle    = {6th International Conference on Learning Representations, {ICLR} 2018,
                  Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings},
  publisher    = {OpenReview.net},
  year         = {2018},
  url          = {https://openreview.net/forum?id=Skdvd2xAZ},
  timestamp    = {Thu, 25 Jul 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/iclr/RitterBB18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/RitterBB18,
  author       = {Hippolyt Ritter and
                  Aleksandar Botev and
                  David Barber},
  editor       = {Samy Bengio and
                  Hanna M. Wallach and
                  Hugo Larochelle and
                  Kristen Grauman and
                  Nicol{\`{o}} Cesa{-}Bianchi and
                  Roman Garnett},
  title        = {Online Structured Laplace Approximations for Overcoming Catastrophic
                  Forgetting},
  booktitle    = {Advances in Neural Information Processing Systems 31: Annual Conference
                  on Neural Information Processing Systems 2018, NeurIPS 2018, December
                  3-8, 2018, Montr{\'{e}}al, Canada},
  pages        = {3742--3752},
  year         = {2018},
  url          = {https://proceedings.neurips.cc/paper/2018/hash/f31b20466ae89669f9741e047487eb37-Abstract.html},
  timestamp    = {Mon, 16 May 2022 15:41:51 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/RitterBB18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1805-07810,
  author       = {Hippolyt Ritter and
                  Aleksandar Botev and
                  David Barber},
  title        = {Online Structured Laplace Approximations For Overcoming Catastrophic
                  Forgetting},
  journal      = {CoRR},
  volume       = {abs/1805.07810},
  year         = {2018},
  url          = {http://arxiv.org/abs/1805.07810},
  eprinttype    = {arXiv},
  eprint       = {1805.07810},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1805-07810.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BotevRB17,
  author       = {Aleksandar Botev and
                  Hippolyt Ritter and
                  David Barber},
  editor       = {Doina Precup and
                  Yee Whye Teh},
  title        = {Practical Gauss-Newton Optimisation for Deep Learning},
  booktitle    = {Proceedings of the 34th International Conference on Machine Learning,
                  {ICML} 2017, Sydney, NSW, Australia, 6-11 August 2017},
  series       = {Proceedings of Machine Learning Research},
  volume       = {70},
  pages        = {557--565},
  publisher    = {{PMLR}},
  year         = {2017},
  url          = {http://proceedings.mlr.press/v70/botev17a.html},
  timestamp    = {Wed, 29 May 2019 08:41:45 +0200},
  biburl       = {https://dblp.org/rec/conf/icml/BotevRB17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}