Seminar
The TransferLab Seminar is a platform where researchers and engineers share and discuss recent advances in AI/ML, striking a balance between accessibility and mathematical depth.
We organize comprehensive talks on ML, RL, DL and statistics, emphasizing both theoretical understanding and practical implementation. These range from introductory overviews to recent developments - and are open to all interested individuals!
Each talk, lasting about 45min followed by around 15min discussion, focuses on a specific topic related to our ongoing series topics. To stay informed, follow the appliedAI Institute on LinkedIn. If you’re interested in presenting your work, contact us. Recordings of past seminars are available on YouTube.
Upcoming Talks
Scheduled
Towards a statistical theory of data selection under weak supervision -
Pulkit Tandon (Granica)
Previous Talks
Done
Value based engineering: Method and application -
Till Klein
Done
The Information Bottleneck in RL -
Robert Müller (appliedAI Institute)
Done
Fair ML in Budget-Constrained Decision Making -
Patrick Tu
Done
Markov Logic Networks: Construction, Learning and Inference -
Michael Panchenko (appliedAI Initiative)
Done
Conditional Random Fields with an application to Information Extraction -
Faried Abu Zaid (appliedAI Institute)
Done
Learning to learn and to optimize -
Omer Rochman