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BibTeX records: Hippolyt Ritter
@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} }

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