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\n  \n 2025\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs.\n \n \n \n \n\n\n \n Zierahn, L.; Van Der Hoeven, D.; Lancewicki, T.; Rosenberg, A.; and Cesa-Bianchi, N.\n\n\n \n\n\n\n Journal of Machine Learning Research, 26(104): 1–60. 2025.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{zierahn2025unified,\n  title={A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs},\n  author={Zierahn, Lukas and Van Der Hoeven, Dirk and Lancewicki, Tal and Rosenberg, Aviv and Cesa-Bianchi, Nicolo},\n  journal={Journal of Machine Learning Research},\n  volume={26},\n  number={104},\n  pages={1--60},\n  year={2025},\nurl = {https://www.jmlr.org/papers/volume26/24-0496/24-0496.pdf}\n}\n\n
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\n \n\n \n \n \n \n \n \n When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses.\n \n \n \n \n\n\n \n Moulin, A.; Esposito, E.; and van der Hoeven, D.\n\n\n \n\n\n\n CoRR, abs/2506.01722. 2025.\n \n\n\n\n
\n\n\n\n \n \n \"WhenPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/corr/abs-2506-01722,\n  author       = {Antoine Moulin and\n                  Emmanuel Esposito and\n                  Dirk van der Hoeven},\n  title        = {When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed\n                  Losses},\n  journal      = {CoRR},\n  volume       = {abs/2506.01722},\n  year         = {2025},\n  url          = {https://doi.org/10.48550/arXiv.2506.01722},\n  doi          = {10.48550/ARXIV.2506.01722},\n  eprinttype    = {arXiv},\n  eprint       = {2506.01722},\n  timestamp    = {Sun, 06 Jul 2025 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2506-01722.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Nearly Minimax Discrete Distribution Estimation in Kullback-Leibler Divergence with High Probability.\n \n \n \n \n\n\n \n van der Hoeven, D.; Olkhovskaia, J.; and van Erven, T.\n\n\n \n\n\n\n CoRR, abs/2507.17316. 2025.\n \n\n\n\n
\n\n\n\n \n \n \"NearlyPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/corr/abs-2507-17316,\n  author       = {Dirk van der Hoeven and\n                  Julia Olkhovskaia and\n                  Tim van Erven},\n  title        = {Nearly Minimax Discrete Distribution Estimation in Kullback-Leibler\n                  Divergence with High Probability},\n  journal      = {CoRR},\n  volume       = {abs/2507.17316},\n  year         = {2025},\n  url          = {https://doi.org/10.48550/arXiv.2507.17316},\n  doi          = {10.48550/ARXIV.2507.17316},\n  eprinttype    = {arXiv},\n  eprint       = {2507.17316},\n  timestamp    = {Fri, 22 Aug 2025 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2507-17316.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n\n
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\n \n\n \n \n \n \n \n \n Online Newton Method for Bandit Convex Optimisation.\n \n \n \n \n\n\n \n Fokkema, H.; van der Hoeven, D.; Lattimore, T.; and Mayo, J. J.\n\n\n \n\n\n\n CoRR, abs/2406.06506. 2024.\n \n\n\n\n
\n\n\n\n \n \n \"OnlinePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/corr/abs-2406-06506,\n  author       = {Hidde Fokkema and\n                  Dirk van der Hoeven and\n                  Tor Lattimore and\n                  Jack J. Mayo},\n  title        = {Online Newton Method for Bandit Convex Optimisation},\n  journal      = {CoRR},\n  volume       = {abs/2406.06506},\n  year         = {2024},\n  url          = {https://doi.org/10.48550/arXiv.2406.06506},\n  doi          = {10.48550/ARXIV.2406.06506},\n  eprinttype    = {arXiv},\n  eprint       = {2406.06506},\n  timestamp    = {Wed, 24 Jul 2024 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2406-06506.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n  \n 2023\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n \n Nonstochastic Contextual Combinatorial Bandits.\n \n \n \n \n\n\n \n Zierahn, L.; van der Hoeven, D.; Cesa-Bianchi, N.; and Neu, G.\n\n\n \n\n\n\n In Ruiz, F. J. R.; Dy, J. G.; and van de Meent, J., editor(s), International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain, volume 206, of Proceedings of Machine Learning Research, pages 8771–8813, 2023. PMLR\n \n\n\n\n
\n\n\n\n \n \n \"NonstochasticPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/aistats/ZierahnHCN23,\n  author       = {Lukas Zierahn and\n                  Dirk van der Hoeven and\n                  Nicol{\\`{o}} Cesa{-}Bianchi and\n                  Gergely Neu},\n  editor       = {Francisco J. R. Ruiz and\n                  Jennifer G. Dy and\n                  Jan{-}Willem van de Meent},\n  title        = {Nonstochastic Contextual Combinatorial Bandits},\n  booktitle    = {International Conference on Artificial Intelligence and Statistics,\n                  25-27 April 2023, Palau de Congressos, Valencia, Spain},\n  series       = {Proceedings of Machine Learning Research},\n  volume       = {206},\n  pages        = {8771--8813},\n  publisher    = {{PMLR}},\n  year         = {2023},\n  url          = {https://proceedings.mlr.press/v206/zierahn23a.html},\n  timestamp    = {Sat, 30 Sep 2023 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/conf/aistats/ZierahnHCN23.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs.\n \n \n \n \n\n\n \n van der Hoeven, D.; Zierahn, L.; Lancewicki, T.; Rosenberg, A.; and Cesa-Bianchi, N.\n\n\n \n\n\n\n In Neu, G.; and Rosasco, L., editor(s), The Thirty Sixth Annual Conference on Learning Theory, COLT 2023, 12-15 July 2023, Bangalore, India, volume 195, of Proceedings of Machine Learning Research, pages 1285–1321, 2023. PMLR\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/colt/HoevenZL0C23,\n  author       = {Dirk van der Hoeven and\n                  Lukas Zierahn and\n                  Tal Lancewicki and\n                  Aviv Rosenberg and\n                  Nicol{\\`{o}} Cesa{-}Bianchi},\n  editor       = {Gergely Neu and\n                  Lorenzo Rosasco},\n  title        = {A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial\n                  Semi-Bandits, Linear Bandits, and MDPs},\n  booktitle    = {The Thirty Sixth Annual Conference on Learning Theory, {COLT} 2023,\n                  12-15 July 2023, Bangalore, India},\n  series       = {Proceedings of Machine Learning Research},\n  volume       = {195},\n  pages        = {1285--1321},\n  publisher    = {{PMLR}},\n  year         = {2023},\n  url          = {https://proceedings.mlr.press/v195/hoeven23a.html},\n  timestamp    = {Sat, 30 Sep 2023 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/conf/colt/HoevenZL0C23.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n\n
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\n \n\n \n \n \n \n \n \n Delayed Bandits: When Do Intermediate Observations Help?.\n \n \n \n \n\n\n \n Esposito, E.; Masoudian, S.; Qiu, H.; van der Hoeven, D.; Cesa-Bianchi, N.; and Seldin, Y.\n\n\n \n\n\n\n In Krause, A.; Brunskill, E.; Cho, K.; Engelhardt, B.; Sabato, S.; and Scarlett, J., editor(s), International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, volume 202, of Proceedings of Machine Learning Research, pages 9374–9395, 2023. PMLR\n \n\n\n\n
\n\n\n\n \n \n \"DelayedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/icml/EspositoMQHCS23,\n  author       = {Emmanuel Esposito and\n                  Saeed Masoudian and\n                  Hao Qiu and\n                  Dirk van der Hoeven and\n                  Nicol{\\`{o}} Cesa{-}Bianchi and\n                  Yevgeny Seldin},\n  editor       = {Andreas Krause and\n                  Emma Brunskill and\n                  Kyunghyun Cho and\n                  Barbara Engelhardt and\n                  Sivan Sabato and\n                  Jonathan Scarlett},\n  title        = {Delayed Bandits: When Do Intermediate Observations Help?},\n  booktitle    = {International Conference on Machine Learning, {ICML} 2023, 23-29 July\n                  2023, Honolulu, Hawaii, {USA}},\n  series       = {Proceedings of Machine Learning Research},\n  volume       = {202},\n  pages        = {9374--9395},\n  publisher    = {{PMLR}},\n  year         = {2023},\n  url          = {https://proceedings.mlr.press/v202/esposito23a.html},\n  timestamp    = {Mon, 28 Aug 2023 17:23:08 +0200},\n  biburl       = {https://dblp.org/rec/conf/icml/EspositoMQHCS23.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n\n
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\n \n\n \n \n \n \n \n \n Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts.\n \n \n \n \n\n\n \n van der Hoeven, D.; Pike-Burke, C.; Qiu, H.; and Cesa-Bianchi, N.\n\n\n \n\n\n\n In Krause, A.; Brunskill, E.; Cho, K.; Engelhardt, B.; Sabato, S.; and Scarlett, J., editor(s), International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, volume 202, of Proceedings of Machine Learning Research, pages 34809–34830, 2023. PMLR\n \n\n\n\n
\n\n\n\n \n \n \"Trading-OffPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/icml/HoevenPQC23,\n  author       = {Dirk van der Hoeven and\n                  Ciara Pike{-}Burke and\n                  Hao Qiu and\n                  Nicol{\\`{o}} Cesa{-}Bianchi},\n  editor       = {Andreas Krause and\n                  Emma Brunskill and\n                  Kyunghyun Cho and\n                  Barbara Engelhardt and\n                  Sivan Sabato and\n                  Jonathan Scarlett},\n  title        = {Trading-Off Payments and Accuracy in Online Classification with Paid\n                  Stochastic Experts},\n  booktitle    = {International Conference on Machine Learning, {ICML} 2023, 23-29 July\n                  2023, Honolulu, Hawaii, {USA}},\n  series       = {Proceedings of Machine Learning Research},\n  volume       = {202},\n  pages        = {34809--34830},\n  publisher    = {{PMLR}},\n  year         = {2023},\n  url          = {https://proceedings.mlr.press/v202/van-der-hoeven23a.html},\n  timestamp    = {Mon, 28 Aug 2023 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/conf/icml/HoevenPQC23.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n High-Probability Risk Bounds via Sequential Predictors.\n \n \n \n \n\n\n \n van der Hoeven, D.; Zhivotovskiy, N.; and Cesa-Bianchi, N.\n\n\n \n\n\n\n CoRR, abs/2308.07588. 2023.\n \n\n\n\n
\n\n\n\n \n \n \"High-ProbabilityPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/corr/abs-2308-07588,\n  author       = {Dirk van der Hoeven and\n                  Nikita Zhivotovskiy and\n                  Nicol{\\`{o}} Cesa{-}Bianchi},\n  title        = {High-Probability Risk Bounds via Sequential Predictors},\n  journal      = {CoRR},\n  volume       = {abs/2308.07588},\n  year         = {2023},\n  url          = {https://doi.org/10.48550/arXiv.2308.07588},\n  doi          = {10.48550/ARXIV.2308.07588},\n  eprinttype    = {arXiv},\n  eprint       = {2308.07588},\n  timestamp    = {Wed, 23 Aug 2023 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2308-07588.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Nonstochastic Bandits and Experts with Arm-Dependent Delays.\n \n \n \n \n\n\n \n van der Hoeven, D.; and Cesa-Bianchi, N.\n\n\n \n\n\n\n In Camps-Valls, G.; Ruiz, F. J. R.; and Valera, I., editor(s), International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event, volume 151, of Proceedings of Machine Learning Research, pages 2022–2044, 2022. PMLR\n \n\n\n\n
\n\n\n\n \n \n \"NonstochasticPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/aistats/HoevenC22,\n  author       = {Dirk van der Hoeven and\n                  Nicol{\\`{o}} Cesa{-}Bianchi},\n  editor       = {Gustau Camps{-}Valls and\n                  Francisco J. R. Ruiz and\n                  Isabel Valera},\n  title        = {Nonstochastic Bandits and Experts with Arm-Dependent Delays},\n  booktitle    = {International Conference on Artificial Intelligence and Statistics,\n                  {AISTATS} 2022, 28-30 March 2022, Virtual Event},\n  series       = {Proceedings of Machine Learning Research},\n  volume       = {151},\n  pages        = {2022--2044},\n  publisher    = {{PMLR}},\n  year         = {2022},\n  url          = {https://proceedings.mlr.press/v151/van-der-hoeven22a.html},\n  timestamp    = {Sat, 30 Sep 2023 09:34:08 +0200},\n  biburl       = {https://dblp.org/rec/conf/aistats/HoevenC22.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Distributed Online Learning for Joint Regret with Communication Constraints.\n \n \n \n \n\n\n \n van der Hoeven, D.; Hadiji, H.; and van Erven, T.\n\n\n \n\n\n\n In Dasgupta, S.; and Haghtalab, N., editor(s), International Conference on Algorithmic Learning Theory, 29 March - 1 April 2022, Paris, France, volume 167, of Proceedings of Machine Learning Research, pages 1003–1042, 2022. PMLR\n \n\n\n\n
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@inproceedings{DBLP:conf/alt/HoevenHE22,\n  author       = {Dirk van der Hoeven and\n                  H{\\'{e}}di Hadiji and\n                  Tim van Erven},\n  editor       = {Sanjoy Dasgupta and\n                  Nika Haghtalab},\n  title        = {Distributed Online Learning for Joint Regret with Communication Constraints},\n  booktitle    = {International Conference on Algorithmic Learning Theory, 29 March\n                  - 1 April 2022, Paris, France},\n  series       = {Proceedings of Machine Learning Research},\n  volume       = {167},\n  pages        = {1003--1042},\n  publisher    = {{PMLR}},\n  year         = {2022},\n  url          = {https://proceedings.mlr.press/v167/hoeven22a.html},\n  timestamp    = {Fri, 10 Mar 2023 11:41:45 +0100},\n  biburl       = {https://dblp.org/rec/conf/alt/HoevenHE22.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Learning on the Edge: Online Learning with Stochastic Feedback Graphs.\n \n \n \n \n\n\n \n Esposito, E.; Fusco, F.; van der Hoeven, D.; and Cesa-Bianchi, N.\n\n\n \n\n\n\n In Koyejo, S.; Mohamed, S.; Agarwal, A.; Belgrave, D.; Cho, K.; and Oh, A., editor(s), 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, 2022. \n \n\n\n\n
\n\n\n\n \n \n \"LearningPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/nips/EspositoFHC22,\n  author       = {Emmanuel Esposito and\n                  Federico Fusco and\n                  Dirk van der Hoeven and\n                  Nicol{\\`{o}} Cesa{-}Bianchi},\n  editor       = {Sanmi Koyejo and\n                  S. Mohamed and\n                  A. Agarwal and\n                  Danielle Belgrave and\n                  K. Cho and\n                  A. Oh},\n  title        = {Learning on the Edge: Online Learning with Stochastic Feedback Graphs},\n  booktitle    = {Advances in Neural Information Processing Systems 35: Annual Conference\n                  on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans,\n                  LA, USA, November 28 - December 9, 2022},\n  year         = {2022},\n  url          = {http://papers.nips.cc/paper\\_files/paper/2022/hash/e0e956681b04ac126679e8c7dd706b2e-Abstract-Conference.html},\n  timestamp    = {Mon, 08 Jan 2024 00:00:00 +0100},\n  biburl       = {https://dblp.org/rec/conf/nips/EspositoFHC22.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n\n
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\n \n\n \n \n \n \n \n \n A Regret-Variance Trade-Off in Online Learning.\n \n \n \n \n\n\n \n van der Hoeven, D.; Zhivotovskiy, N.; and Cesa-Bianchi, N.\n\n\n \n\n\n\n In Koyejo, S.; Mohamed, S.; Agarwal, A.; Belgrave, D.; Cho, K.; and Oh, A., editor(s), 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, 2022. \n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/nips/HoevenZC22,\n  author       = {Dirk van der Hoeven and\n                  Nikita Zhivotovskiy and\n                  Nicol{\\`{o}} Cesa{-}Bianchi},\n  editor       = {Sanmi Koyejo and\n                  S. Mohamed and\n                  A. Agarwal and\n                  Danielle Belgrave and\n                  K. Cho and\n                  A. Oh},\n  title        = {A Regret-Variance Trade-Off in Online Learning},\n  booktitle    = {Advances in Neural Information Processing Systems 35: Annual Conference\n                  on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans,\n                  LA, USA, November 28 - December 9, 2022},\n  year         = {2022},\n  url          = {http://papers.nips.cc/paper\\_files/paper/2022/hash/e473f29459a4a006d4e968537b135e40-Abstract-Conference.html},\n  timestamp    = {Mon, 08 Jan 2024 00:00:00 +0100},\n  biburl       = {https://dblp.org/rec/conf/nips/HoevenZC22.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs.\n \n \n \n \n\n\n \n Rouyer, C.; van der Hoeven, D.; Cesa-Bianchi, N.; and Seldin, Y.\n\n\n \n\n\n\n In Koyejo, S.; Mohamed, S.; Agarwal, A.; Belgrave, D.; Cho, K.; and Oh, A., editor(s), 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, 2022. \n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/nips/RouyerHCS22,\n  author       = {Chlo{\\'{e}} Rouyer and\n                  Dirk van der Hoeven and\n                  Nicol{\\`{o}} Cesa{-}Bianchi and\n                  Yevgeny Seldin},\n  editor       = {Sanmi Koyejo and\n                  S. Mohamed and\n                  A. Agarwal and\n                  Danielle Belgrave and\n                  K. Cho and\n                  A. Oh},\n  title        = {A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with\n                  Feedback Graphs},\n  booktitle    = {Advances in Neural Information Processing Systems 35: Annual Conference\n                  on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans,\n                  LA, USA, November 28 - December 9, 2022},\n  year         = {2022},\n  url          = {http://papers.nips.cc/paper\\_files/paper/2022/hash/e36da7acd188c6655792270b38830124-Abstract-Conference.html},\n  timestamp    = {Mon, 08 Jan 2024 00:00:00 +0100},\n  biburl       = {https://dblp.org/rec/conf/nips/RouyerHCS22.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n  \n 2021\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n MetaGrad: Adaptation using Multiple Learning Rates in Online Learning.\n \n \n \n \n\n\n \n van Erven, T.; Koolen, W. M.; and van der Hoeven, D.\n\n\n \n\n\n\n Journal of Machine Learning Research, 22: 161:1–161:61. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"MetaGrad:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/jmlr/ErvenKH21,\n  author       = {Tim van Erven and\n                  Wouter M. Koolen and\n                  Dirk van der Hoeven},\n  title        = {MetaGrad: Adaptation using Multiple Learning Rates in Online Learning},\n  journal      = {Journal of Machine Learning Research},\n  volume       = {22},\n  pages        = {161:1--161:61},\n  year         = {2021},\n  url          = {https://jmlr.org/papers/v22/20-1444.html},\n  timestamp    = {Wed, 11 Sep 2024 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/journals/jmlr/ErvenKH21.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Beyond Bandit Feedback in Online Multiclass Classification.\n \n \n \n \n\n\n \n van der Hoeven, D.; Fusco, F.; and Cesa-Bianchi, N.\n\n\n \n\n\n\n In Ranzato, M.; Beygelzimer, A.; Dauphin, Y. N.; Liang, P.; and Vaughan, J. W., editor(s), Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, pages 13280–13291, 2021. \n \n\n\n\n
\n\n\n\n \n \n \"BeyondPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/nips/HoevenFC21,\n  author       = {Dirk van der Hoeven and\n                  Federico Fusco and\n                  Nicol{\\`{o}} Cesa{-}Bianchi},\n  editor       = {Marc'Aurelio Ranzato and\n                  Alina Beygelzimer and\n                  Yann N. Dauphin and\n                  Percy Liang and\n                  Jennifer Wortman Vaughan},\n  title        = {Beyond Bandit Feedback in Online Multiclass Classification},\n  booktitle    = {Advances in Neural Information Processing Systems 34: Annual Conference\n                  on Neural Information Processing Systems 2021, NeurIPS 2021, December\n                  6-14, 2021, virtual},\n  pages        = {13280--13291},\n  year         = {2021},\n  url          = {https://proceedings.neurips.cc/paper/2021/hash/6e79ed05baec2754e25b4eac73a332d2-Abstract.html},\n  timestamp    = {Tue, 03 May 2022 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/conf/nips/HoevenFC21.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n  \n 2020\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n Open Problem: Fast and Optimal Online Portfolio Selection.\n \n \n \n \n\n\n \n van Erven, T.; van der Hoeven, D.; Kotlowski, W.; and Koolen, W. M.\n\n\n \n\n\n\n In Abernethy, J. D.; and Agarwal, S., editor(s), Conference on Learning Theory, COLT 2020, 9-12 July 2020, Virtual Event [Graz, Austria], volume 125, of Proceedings of Machine Learning Research, pages 3864–3869, 2020. PMLR\n \n\n\n\n
\n\n\n\n \n \n \"OpenPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/colt/ErvenHKK20,\n  author       = {Tim van Erven and\n                  Dirk van der Hoeven and\n                  Wojciech Kotlowski and\n                  Wouter M. Koolen},\n  editor       = {Jacob D. Abernethy and\n                  Shivani Agarwal},\n  title        = {Open Problem: Fast and Optimal Online Portfolio Selection},\n  booktitle    = {Conference on Learning Theory, {COLT} 2020, 9-12 July 2020, Virtual\n                  Event [Graz, Austria]},\n  series       = {Proceedings of Machine Learning Research},\n  volume       = {125},\n  pages        = {3864--3869},\n  publisher    = {{PMLR}},\n  year         = {2020},\n  url          = {http://proceedings.mlr.press/v125/van-erven20a.html},\n  timestamp    = {Fri, 27 Nov 2020 00:00:00 +0100},\n  biburl       = {https://dblp.org/rec/conf/colt/ErvenHKK20.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Exploiting the Surrogate Gap in Online Multiclass Classification.\n \n \n \n \n\n\n \n van der Hoeven, D.\n\n\n \n\n\n\n In Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M.; and Lin, H., editor(s), Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020. \n \n\n\n\n
\n\n\n\n \n \n \"ExploitingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/nips/Hoeven20,\n  author       = {Dirk van der Hoeven},\n  editor       = {Hugo Larochelle and\n                  Marc'Aurelio Ranzato and\n                  Raia Hadsell and\n                  Maria{-}Florina Balcan and\n                  Hsuan{-}Tien Lin},\n  title        = {Exploiting the Surrogate Gap in Online Multiclass Classification},\n  booktitle    = {Advances in Neural Information Processing Systems 33: Annual Conference\n                  on Neural Information Processing Systems 2020, NeurIPS 2020, December\n                  6-12, 2020, virtual},\n  year         = {2020},\n  url          = {https://proceedings.neurips.cc/paper/2020/hash/6ce8d8f3b038f737cefcdafcf3752452-Abstract.html},\n  timestamp    = {Tue, 19 Jan 2021 00:00:00 +0100},\n  biburl       = {https://dblp.org/rec/conf/nips/Hoeven20.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Comparator-Adaptive Convex Bandits.\n \n \n \n \n\n\n \n van der Hoeven, D.; Cutkosky, A.; and Luo, H.\n\n\n \n\n\n\n In Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M.; and Lin, H., editor(s), Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020. \n \n\n\n\n
\n\n\n\n \n \n \"Comparator-AdaptivePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/nips/HoevenCL20,\n  author       = {Dirk van der Hoeven and\n                  Ashok Cutkosky and\n                  Haipeng Luo},\n  editor       = {Hugo Larochelle and\n                  Marc'Aurelio Ranzato and\n                  Raia Hadsell and\n                  Maria{-}Florina Balcan and\n                  Hsuan{-}Tien Lin},\n  title        = {Comparator-Adaptive Convex Bandits},\n  booktitle    = {Advances in Neural Information Processing Systems 33: Annual Conference\n                  on Neural Information Processing Systems 2020, NeurIPS 2020, December\n                  6-12, 2020, virtual},\n  year         = {2020},\n  url          = {https://proceedings.neurips.cc/paper/2020/hash/e4f37b9ed429c1fe5ce61860d9902521-Abstract.html},\n  timestamp    = {Thu, 14 Oct 2021 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/conf/nips/HoevenCL20.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n  \n 2019\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning.\n \n \n \n \n\n\n \n van der Hoeven, D.\n\n\n \n\n\n\n In Wallach, H. M.; Larochelle, H.; Beygelzimer, A.; d'Alché-Buc , F.; Fox, E. B.; and Garnett, R., editor(s), 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 14080–14089, 2019. \n \n\n\n\n
\n\n\n\n \n \n \"User-SpecifiedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/nips/Hoeven19,\n  author       = {Dirk van der Hoeven},\n  editor       = {Hanna M. Wallach and\n                  Hugo Larochelle and\n                  Alina Beygelzimer and\n                  Florence d'Alch{\\'{e}}{-}Buc and\n                  Emily B. Fox and\n                  Roman Garnett},\n  title        = {User-Specified Local Differential Privacy in Unconstrained Adaptive\n                  Online Learning},\n  booktitle    = {Advances in Neural Information Processing Systems 32: Annual Conference\n                  on Neural Information Processing Systems 2019, NeurIPS 2019, December\n                  8-14, 2019, Vancouver, BC, Canada},\n  pages        = {14080--14089},\n  year         = {2019},\n  url          = {https://proceedings.neurips.cc/paper/2019/hash/ddb4955263e6c08179393d1beaf18602-Abstract.html},\n  timestamp    = {Mon, 16 May 2022 15:41:51 +0200},\n  biburl       = {https://dblp.org/rec/conf/nips/Hoeven19.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n  \n 2018\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n The Many Faces of Exponential Weights in Online Learning.\n \n \n \n \n\n\n \n van der Hoeven, D.; van Erven, T.; and Kotlowski, W.\n\n\n \n\n\n\n In Bubeck, S.; Perchet, V.; and Rigollet, P., editor(s), Conference On Learning Theory, COLT 2018, Stockholm, Sweden, 6-9 July 2018, volume 75, of Proceedings of Machine Learning Research, pages 2067–2092, 2018. PMLR\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/colt/HoevenEK18,\n  author       = {Dirk van der Hoeven and\n                  Tim van Erven and\n                  Wojciech Kotlowski},\n  editor       = {S{\\'{e}}bastien Bubeck and\n                  Vianney Perchet and\n                  Philippe Rigollet},\n  title        = {The Many Faces of Exponential Weights in Online Learning},\n  booktitle    = {Conference On Learning Theory, {COLT} 2018, Stockholm, Sweden, 6-9\n                  July 2018},\n  series       = {Proceedings of Machine Learning Research},\n  volume       = {75},\n  pages        = {2067--2092},\n  publisher    = {{PMLR}},\n  year         = {2018},\n  url          = {http://proceedings.mlr.press/v75/hoeven18a.html},\n  timestamp    = {Wed, 03 Apr 2019 18:17:23 +0200},\n  biburl       = {https://dblp.org/rec/conf/colt/HoevenEK18.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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