For best experience please turn on javascript and use a modern browser!
You are using a browser that is no longer supported by Microsoft. Please upgrade your browser. The site may not present itself correctly if you continue browsing.
van der Hoeven, D., Hadiji, H., & van Erven, T. (2022). Distributed Online Learning for Joint Regret with Communication Constraints. Proceedings of Machine Learning Research, 167, 1003-1042. https://proceedings.mlr.press/v167/hoeven22a.html[details]
van Erven, T., Koolen, W. M., & van der Hoeven, D. (2021). MetaGrad: Adaptation using Multiple Learning Rates in Online Learning. Journal of Machine Learning Research, 22(161), 1-61. https://jmlr.org/papers/v22/20-1444.html
van Erven, T., Sachs, S., Koolen, W. M., & Kotłowski, W. (2021). Robust Online Convex Optimization in the Presence of Outliers. Proceedings of Machine Learning Research, 134, 4174-4194. https://proceedings.mlr.press/v134/vanerven21a.html[details]
van Erven, T. A. L., Grünwald, P. D., & de Rooij, S. (2007). Catching Up Faster in Bayesian Model Selection and Model Averaging. In Advances in Neural Information Processing Systems (pp. 417-424). Neural Information Processing Systems (NIPS) Foundation. [details]
Others
van Erven, T. A. L. (other) (2007). Lecturer Machine Learning, Vrije Universiteit van Amsterdam (other).
The UvA uses cookies to ensure the basic functionality of the site and for statistical and optimisation purposes. Cookies are also placed to display third-party content and for marketing purposes. Click 'Accept all cookies' to consent to the placement of all cookies, or choose 'Decline' to only accept functional and analytical cookies. Also read the UvA Privacy statement.