Welcome to the Machine Learning Group (MLG). We are a highly active group of researchers working on all aspects of machine learning. Our interests span theoretical foundations, optimization algorithms, and a variety of applications (vision, speech, healthcare, materials science, NLP, biology, among others).
加速器怎么上外网 | Stefanie Jegelka and Suvrit Sra holding a NIPS 2018 Tutorial on Negative Dependence and Stable Polynomials in Machine Learning |
Apr 09 2018 | Congrats to Prof Broderick for winning a Google Research Award! |
外网加速器推荐 | Congrats to 外网加速器下载 for winning a Google Research Fellowship! |
Mar 21 2018 | Congrats to Prof Broderick for winning an NSF-CAREER award! |
Feb 2018 | Congrats to Prof Sra for winning an Amazon Research Award! |
Feb 15 2018 | Congrats to Prof Broderick and Prof Jegelka for winning the 2018 Sloan Research Fellowship! |
Jan 2018 | Prof Broderick wins the ARO YIP award -- congrats! |
Dec 2017 | Prof Jegelka's (joint) work answers Can computers help us synthesize new materials? |
手机网络加速器 | Prof. Stefanie Jegelka receives a DARPA 2017 Young Faculty Award (YFA). Congrats! |
NIPS17 | 9 papers from MLG + 14 more from wider MLG accepted at NIPS -- congrats! (there are ~ 20 additional ML papers @NIPS from authors with MIT affiliations.) |
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NIPS17 | T. Broderick co-organizing Advances in Approximate Bayesian Inference Workshop at NIPS 2017 |
NIPS17 | S. Sra co-organizing OPT2017, the 10th |