DeLTA Lab: Denmark Learning Theory and Applications
We are a research group affiliated with the Department of Computer Science at the University of Copenhagen (DIKU) studying diverse aspects of Machine Learning Theory and its applications.
Members
Professor, DIKU
Assistant Professor, DIKU
Professor, DIKU
Professor, DIKU
Assistant Professor, DIKU
Assistant Professor, DIKU
PhD Student, DIKU
Hippolyte Bourel
PhD Student, DIKU
Oliver Mortensen
PhD Student, DIKU
Visiting PhD Student, DIKU
Postdoc, DIKU
Postdoc, SDU
Churney
Research Scientist, Google Research
Ola Rønning
Postdoc, DIKU
Postdoc, MUL
DeLTA Seminar
You can subscribe to the DeLTA Seminar mailing list here or by sending an empty email to delta-seminar-join@list.ku.dk.
Recent Publications
Tiancheng Jin, Junyan Liu, Chloé Rouyer, William Chang, Chen-Yu Wei, Haipeng Luo. No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions, NeurIPS 2023. [arXiv]
Hippolyte Bourel, Anders Jonsson, Odalric-Ambrym Maillard, Mohammad Sadegh Talebi. Exploration in Reward Machines with Low Regret, AISTATS 2023. [plmr]
Chloé Rouyer, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin. A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs. NeurIPS, 2022. [arXiv]
Saeed Masoudian, Julian Zimmert, Yevgeny Seldin. A Best-of-Both-Worlds Algorithm for Bandits with Delayed Feedback. NeurIPS 2022. [arXiv]
Yi-Shan Wu, Yevgeny Seldin. Split-kl and PAC-Bayes-split-kl Inequalities. NeurIPS, 2022. [arXiv]
Nikolaos Nomikos, Mohammad Sadegh Talebi, Themistoklis Charalambous, Risto Wichman. Bandit-based power control in full-duplex cooperative relay networks with strict-sense stationary and non-stationary wireless communication channels. IEEE Open Journal of the Communications Society 3: 366-378, 2022. [doi]
Courses
We offer several Machine Learning courses at the University of Copenhagen.
Alumni
Yunlian Lyu