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@article{DBLP:journals/ai/BaiWHYZWL24,
author = {Chenjia Bai and
Lingxiao Wang and
Jianye Hao and
Zhuoran Yang and
Bin Zhao and
Zhen Wang and
Xuelong Li},
title = {Pessimistic value iteration for multi-task data sharing in Offline
Reinforcement Learning},
journal = {Artif. Intell.},
volume = {326},
pages = {104048},
year = {2024},
url = {https://doi.org/10.1016/j.artint.2023.104048},
doi = {10.1016/J.ARTINT.2023.104048},
timestamp = {Tue, 26 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/ai/BaiWHYZWL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/pami/DengFWYBZWJ24,
author = {Zhihong Deng and
Zuyue Fu and
Lingxiao Wang and
Zhuoran Yang and
Chenjia Bai and
Tianyi Zhou and
Zhaoran Wang and
Jing Jiang},
title = {False Correlation Reduction for Offline Reinforcement Learning},
journal = {{IEEE} Trans. Pattern Anal. Mach. Intell.},
volume = {46},
number = {2},
pages = {1199--1211},
year = {2024},
url = {https://doi.org/10.1109/TPAMI.2023.3328397},
doi = {10.1109/TPAMI.2023.3328397},
timestamp = {Fri, 26 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/pami/DengFWYBZWJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tnn/BaiXZWZGHLW24,
author = {Chenjia Bai and
Ting Xiao and
Zhoufan Zhu and
Lingxiao Wang and
Fan Zhou and
Animesh Garg and
Bin He and
Peng Liu and
Zhaoran Wang},
title = {Monotonic Quantile Network for Worst-Case Offline Reinforcement Learning},
journal = {{IEEE} Trans. Neural Networks Learn. Syst.},
volume = {35},
number = {7},
pages = {8954--8968},
year = {2024},
url = {https://doi.org/10.1109/TNNLS.2022.3217189},
doi = {10.1109/TNNLS.2022.3217189},
timestamp = {Fri, 02 Aug 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/tnn/BaiXZWZGHLW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2404-19346,
author = {Chenjia Bai and
Lingxiao Wang and
Jianye Hao and
Zhuoran Yang and
Bin Zhao and
Zhen Wang and
Xuelong Li},
title = {Pessimistic Value Iteration for Multi-Task Data Sharing in Offline
Reinforcement Learning},
journal = {CoRR},
volume = {abs/2404.19346},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2404.19346},
doi = {10.48550/ARXIV.2404.19346},
eprinttype = {arXiv},
eprint = {2404.19346},
timestamp = {Mon, 22 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2404-19346.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tcyb/BaiWWWZBL23,
author = {Chenjia Bai and
Lingxiao Wang and
Yixin Wang and
Zhaoran Wang and
Rui Zhao and
Chenyao Bai and
Peng Liu},
title = {Addressing Hindsight Bias in Multigoal Reinforcement Learning},
journal = {{IEEE} Trans. Cybern.},
volume = {53},
number = {1},
pages = {392--405},
year = {2023},
url = {https://doi.org/10.1109/TCYB.2021.3107202},
doi = {10.1109/TCYB.2021.3107202},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/tcyb/BaiWWWZBL23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tnn/BaiLLWZHW23,
author = {Chenjia Bai and
Peng Liu and
Kaiyu Liu and
Lingxiao Wang and
Yingnan Zhao and
Lei Han and
Zhaoran Wang},
title = {Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement
Learning},
journal = {{IEEE} Trans. Neural Networks Learn. Syst.},
volume = {34},
number = {8},
pages = {4776--4790},
year = {2023},
url = {https://doi.org/10.1109/TNNLS.2021.3129160},
doi = {10.1109/TNNLS.2021.3129160},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/tnn/BaiLLWZHW23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iclr/0003CYW23,
author = {Lingxiao Wang and
Qi Cai and
Zhuoran Yang and
Zhaoran Wang},
title = {Represent to Control Partially Observed Systems: Representation Learning
with Provable Sample Efficiency},
booktitle = {The Eleventh International Conference on Learning Representations,
{ICLR} 2023, Kigali, Rwanda, May 1-5, 2023},
publisher = {OpenReview.net},
year = {2023},
url = {https://openreview.net/forum?id=8oJHwb3Sgp},
timestamp = {Wed, 24 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/iclr/0003CYW23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iclr/Zheng0QFYSW23,
author = {Sirui Zheng and
Lingxiao Wang and
Shuang Qiu and
Zuyue Fu and
Zhuoran Yang and
Csaba Szepesv{\'{a}}ri and
Zhaoran Wang},
title = {Optimistic Exploration with Learned Features Provably Solves Markov
Decision Processes with Neural Dynamics},
booktitle = {The Eleventh International Conference on Learning Representations,
{ICLR} 2023, Kigali, Rwanda, May 1-5, 2023},
publisher = {OpenReview.net},
year = {2023},
url = {https://openreview.net/forum?id=9kBCMNb5mc},
timestamp = {Wed, 24 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/iclr/Zheng0QFYSW23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2305-18464,
author = {Haoran He and
Chenjia Bai and
Hang Lai and
Lingxiao Wang and
Weinan Zhang},
title = {Privileged Knowledge Distillation for Sim-to-Real Policy Generalization},
journal = {CoRR},
volume = {abs/2305.18464},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2305.18464},
doi = {10.48550/ARXIV.2305.18464},
eprinttype = {arXiv},
eprint = {2305.18464},
timestamp = {Fri, 09 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2305-18464.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iclr/Bai0YDG0W22,
author = {Chenjia Bai and
Lingxiao Wang and
Zhuoran Yang and
Zhi{-}Hong Deng and
Animesh Garg and
Peng Liu and
Zhaoran Wang},
title = {Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement
Learning},
booktitle = {The Tenth International Conference on Learning Representations, {ICLR}
2022, Virtual Event, April 25-29, 2022},
publisher = {OpenReview.net},
year = {2022},
url = {https://openreview.net/forum?id=Y4cs1Z3HnqL},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/iclr/Bai0YDG0W22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/QiuWBYW22,
author = {Shuang Qiu and
Lingxiao Wang and
Chenjia Bai and
Zhuoran Yang and
Zhaoran Wang},
editor = {Kamalika Chaudhuri and
Stefanie Jegelka and
Le Song and
Csaba Szepesv{\'{a}}ri and
Gang Niu and
Sivan Sabato},
title = {Contrastive {UCB:} Provably Efficient Contrastive Self-Supervised
Learning in Online Reinforcement Learning},
booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July
2022, Baltimore, Maryland, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {162},
pages = {18168--18210},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v162/qiu22c.html},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/QiuWBYW22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2202-11566,
author = {Chenjia Bai and
Lingxiao Wang and
Zhuoran Yang and
Zhihong Deng and
Animesh Garg and
Peng Liu and
Zhaoran Wang},
title = {Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement
Learning},
journal = {CoRR},
volume = {abs/2202.11566},
year = {2022},
url = {https://arxiv.org/abs/2202.11566},
eprinttype = {arXiv},
eprint = {2202.11566},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2202-11566.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2205-13476,
author = {Lingxiao Wang and
Qi Cai and
Zhuoran Yang and
Zhaoran Wang},
title = {Embed to Control Partially Observed Systems: Representation Learning
with Provable Sample Efficiency},
journal = {CoRR},
volume = {abs/2205.13476},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2205.13476},
doi = {10.48550/ARXIV.2205.13476},
eprinttype = {arXiv},
eprint = {2205.13476},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2205-13476.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2207-14800,
author = {Shuang Qiu and
Lingxiao Wang and
Chenjia Bai and
Zhuoran Yang and
Zhaoran Wang},
title = {Contrastive {UCB:} Provably Efficient Contrastive Self-Supervised
Learning in Online Reinforcement Learning},
journal = {CoRR},
volume = {abs/2207.14800},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2207.14800},
doi = {10.48550/ARXIV.2207.14800},
eprinttype = {arXiv},
eprint = {2207.14800},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2207-14800.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2212-14852,
author = {Yufeng Zhang and
Boyi Liu and
Qi Cai and
Lingxiao Wang and
Zhaoran Wang},
title = {An Analysis of Attention via the Lens of Exchangeability and Latent
Variable Models},
journal = {CoRR},
volume = {abs/2212.14852},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2212.14852},
doi = {10.48550/ARXIV.2212.14852},
eprinttype = {arXiv},
eprint = {2212.14852},
timestamp = {Fri, 19 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2212-14852.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BaiWHHG0W21,
author = {Chenjia Bai and
Lingxiao Wang and
Lei Han and
Jianye Hao and
Animesh Garg and
Peng Liu and
Zhaoran Wang},
editor = {Marina Meila and
Tong Zhang},
title = {Principled Exploration via Optimistic Bootstrapping and Backward Induction},
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 = {577--587},
publisher = {{PMLR}},
year = {2021},
url = {http://proceedings.mlr.press/v139/bai21d.html},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/BaiWHHG0W21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/BaiWHGHLW21,
author = {Chenjia Bai and
Lingxiao Wang and
Lei Han and
Animesh Garg and
Jianye Hao and
Peng Liu and
Zhaoran Wang},
editor = {Marc'Aurelio Ranzato and
Alina Beygelzimer and
Yann N. Dauphin and
Percy Liang and
Jennifer Wortman Vaughan},
title = {Dynamic Bottleneck for Robust Self-Supervised Exploration},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference
on Neural Information Processing Systems 2021, NeurIPS 2021, December
6-14, 2021, virtual},
pages = {17007--17020},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/8d3369c4c086f236fabf61d614a32818-Abstract.html},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/BaiWHGHLW21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/WangYW21,
author = {Lingxiao Wang and
Zhuoran Yang and
Zhaoran Wang},
editor = {Marc'Aurelio Ranzato and
Alina Beygelzimer and
Yann N. Dauphin and
Percy Liang and
Jennifer Wortman Vaughan},
title = {Provably Efficient Causal Reinforcement Learning with Confounded Observational
Data},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference
on Neural Information Processing Systems 2021, NeurIPS 2021, December
6-14, 2021, virtual},
pages = {21164--21175},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/b0b79da57b95837f14be95aaa4d54cf8-Abstract.html},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/WangYW21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2105-06022,
author = {Chenjia Bai and
Lingxiao Wang and
Lei Han and
Jianye Hao and
Animesh Garg and
Peng Liu and
Zhaoran Wang},
title = {Principled Exploration via Optimistic Bootstrapping and Backward Induction},
journal = {CoRR},
volume = {abs/2105.06022},
year = {2021},
url = {https://arxiv.org/abs/2105.06022},
eprinttype = {arXiv},
eprint = {2105.06022},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2105-06022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2105-08268,
author = {Yan Li and
Lingxiao Wang and
Jiachen Yang and
Ethan Wang and
Zhaoran Wang and
Tuo Zhao and
Hongyuan Zha},
title = {Permutation Invariant Policy Optimization for Mean-Field Multi-Agent
Reinforcement Learning: {A} Principled Approach},
journal = {CoRR},
volume = {abs/2105.08268},
year = {2021},
url = {https://arxiv.org/abs/2105.08268},
eprinttype = {arXiv},
eprint = {2105.08268},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2105-08268.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2110-10735,
author = {Chenjia Bai and
Lingxiao Wang and
Lei Han and
Animesh Garg and
Jianye Hao and
Peng Liu and
Zhaoran Wang},
title = {Dynamic Bottleneck for Robust Self-Supervised Exploration},
journal = {CoRR},
volume = {abs/2110.10735},
year = {2021},
url = {https://arxiv.org/abs/2110.10735},
eprinttype = {arXiv},
eprint = {2110.10735},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2110-10735.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2110-12468,
author = {Zhihong Deng and
Zuyue Fu and
Lingxiao Wang and
Zhuoran Yang and
Chenjia Bai and
Zhaoran Wang and
Jing Jiang},
title = {{SCORE:} Spurious COrrelation REduction for Offline Reinforcement
Learning},
journal = {CoRR},
volume = {abs/2110.12468},
year = {2021},
url = {https://arxiv.org/abs/2110.12468},
eprinttype = {arXiv},
eprint = {2110.12468},
timestamp = {Mon, 22 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2110-12468.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iclr/WangCYW20,
author = {Lingxiao Wang and
Qi Cai and
Zhuoran Yang and
Zhaoran Wang},
title = {Neural Policy Gradient Methods: Global Optimality and Rates of Convergence},
booktitle = {8th International Conference on Learning Representations, {ICLR} 2020,
Addis Ababa, Ethiopia, April 26-30, 2020},
publisher = {OpenReview.net},
year = {2020},
url = {https://openreview.net/forum?id=BJgQfkSYDS},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/iclr/WangCYW20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WangCYW20,
author = {Lingxiao Wang and
Qi Cai and
Zhuoran Yang and
Zhaoran Wang},
title = {On the Global Optimality of Model-Agnostic Meta-Learning},
booktitle = {Proceedings of the 37th International Conference on Machine Learning,
{ICML} 2020, 13-18 July 2020, Virtual Event},
series = {Proceedings of Machine Learning Research},
volume = {119},
pages = {9837--9846},
publisher = {{PMLR}},
year = {2020},
url = {http://proceedings.mlr.press/v119/wang20b.html},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/WangCYW20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WangYW20,
author = {Lingxiao Wang and
Zhuoran Yang and
Zhaoran Wang},
title = {Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration
for Mean-Field Reinforcement Learning},
booktitle = {Proceedings of the 37th International Conference on Machine Learning,
{ICML} 2020, 13-18 July 2020, Virtual Event},
series = {Proceedings of Machine Learning Research},
volume = {119},
pages = {10092--10103},
publisher = {{PMLR}},
year = {2020},
url = {http://proceedings.mlr.press/v119/wang20z.html},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/WangYW20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2006-11917,
author = {Lingxiao Wang and
Zhuoran Yang and
Zhaoran Wang},
title = {Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration
for Mean-Field Reinforcement Learning},
journal = {CoRR},
volume = {abs/2006.11917},
year = {2020},
url = {https://arxiv.org/abs/2006.11917},
eprinttype = {arXiv},
eprint = {2006.11917},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2006-11917.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2006-12311,
author = {Lingxiao Wang and
Zhuoran Yang and
Zhaoran Wang},
title = {Provably Efficient Causal Reinforcement Learning with Confounded Observational
Data},
journal = {CoRR},
volume = {abs/2006.12311},
year = {2020},
url = {https://arxiv.org/abs/2006.12311},
eprinttype = {arXiv},
eprint = {2006.12311},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2006-12311.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2006-13182,
author = {Lingxiao Wang and
Qi Cai and
Zhuoran Yang and
Zhaoran Wang},
title = {On the Global Optimality of Model-Agnostic Meta-Learning},
journal = {CoRR},
volume = {abs/2006.13182},
year = {2020},
url = {https://arxiv.org/abs/2006.13182},
eprinttype = {arXiv},
eprint = {2006.13182},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2006-13182.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2010-08755,
author = {Chenjia Bai and
Peng Liu and
Zhaoran Wang and
Kaiyu Liu and
Lingxiao Wang and
Yingnan Zhao},
title = {Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement
Learning},
journal = {CoRR},
volume = {abs/2010.08755},
year = {2020},
url = {https://arxiv.org/abs/2010.08755},
eprinttype = {arXiv},
eprint = {2010.08755},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2010-08755.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/WangYW19,
author = {Lingxiao Wang and
Zhuoran Yang and
Zhaoran Wang},
editor = {Hanna M. Wallach and
Hugo Larochelle and
Alina Beygelzimer and
Florence d'Alch{\'{e}}{-}Buc and
Emily B. Fox and
Roman Garnett},
title = {Statistical-Computational Tradeoff in Single Index Models},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference
on Neural Information Processing Systems 2019, NeurIPS 2019, December
8-14, 2019, Vancouver, BC, Canada},
pages = {10419--10426},
year = {2019},
url = {https://proceedings.neurips.cc/paper/2019/hash/13d4635deccc230c944e4ff6e03404b5-Abstract.html},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/WangYW19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1909-01150,
author = {Lingxiao Wang and
Qi Cai and
Zhuoran Yang and
Zhaoran Wang},
title = {Neural Policy Gradient Methods: Global Optimality and Rates of Convergence},
journal = {CoRR},
volume = {abs/1909.01150},
year = {2019},
url = {http://arxiv.org/abs/1909.01150},
eprinttype = {arXiv},
eprint = {1909.01150},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1909-01150.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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