Computer Science 692B - S-OnlineLrng&Inference/DistSys

In this seminar, students will read, present, and discuss research papers on recent and advanced topics in online optimization and learning and their applications to distributed systems. Students are expected to lead one or more discussions throughout the semester. This seminar covers recent research ranging from online algorithms, online learning in full and bandit feedback settings, to distributed estimation and inference, and their applications in distributed systems. Participants will be expected to read up to two papers per week. One or more attendees will be responsible for presenting a summary of each paper and help lead the discussion of the paper. When possible, researchers will be asked to relate their work to the papers.

Open to Computer Science graduate students only.