“Transformers Learn to Compress Variable-order Markov Chains in-Context”, was recognized as the best paper at the Machine Learning and Compression Workshop of NeurIPS 2024. A reprint of this work can be found at preprint of this work at https://arxiv.org/abs/2410.05493.

NeurIPS 2024 was the thirty-eighth Annual Conference on Neural Information Processing Systems, and was held at the Vancouver Convention Center, December 10th – 15th.

Congratulations to Ruida Zhou (UCLA), Dr. Chao Tian (Texas A&M), and Dr. Suhas Diggavi (UCLA) on their accomplishments.

IoBT researcher, Paulo Tabuada, professor of Electrical and Computer Engineering at UCLA will be giving a plenary talk at the IEEE 2024 Conference on Decision and Control (CDC) in Milan, Italy, on Thursday, December 19th from 8:30 – 9:30. CDC is the flagship conference in the field of control.

Plenary Talk: Ask not what AI can do for control, ask what control can do for AI

IoBT Researchers, Osama A. Hanna, Merve Karakas, Lin F. Yang, and Christina Fragouli, publish ‘Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels‘ at the 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024). and on May 4th in Valencia, I presented a poster on our work at the conference. Merve Karakas presented a poster on this team’s research at AISTATS 2024, in Valencia, Spain.

The Institute of Mathematical Statistics (IMS) has announced IoBT Researcher, Venu Veeravalli, among its 2024 class of IMS Fellows. The designation of IMS Fellow has been a significant honor for almost 90 years, with each Fellow demonstrating distinction in research in statistics or probability or has demonstrated leadership that has profoundly influenced the field.

Read the full article: HERE.