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).
NEWS
| Dec 2018 | 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! |
| Apr 07 2018 | Congrats to Zelda Mariet 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? |
| Sep 2017 | 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.) |
| NIPS17 | S. Jegelka co-organizing Discrete Structures in Machine Learning Workshop at NIPS 2017 |
| NIPS17 | T. Broderick co-organizing Advances in Approximate Bayesian Inference Workshop at NIPS 2017 |
| NIPS17 | S. Sra co-organizing OPT2017, the 10th Optimization for Machine Learning workshop at NIPS 2017 |
| Sep 2017 | Welcome new ML students! |
| July 10-15 | Suvrit Sra lecturing at the PKU Applied Math Summer School (Beijing, China), on Optimization for Machine Learning: Convex and Nonconvex |
| Aug 24 | Stefanie Jegelka holding a bootcamp lecture at the Simons Institute, Berkeley on Continuous methods for Discrete Optimization |
| Jun 27 | Stefanie Jegelka lecturing at the Machine Learning Summer School (MLSS), Tübingen, Germany, on Submodularity in ML |
| Jun 26,27 | Suvrit Sra lecturing at the Machine Learning Summer School (MLSS), Tübingen, Germany, on Optimization for ML |
| 13 May | 9 ICML 2017 Papers by MLG. Congrats! |
| 06 Apr | Boston Globe features 6.036: Introduction to Machine Learning (featuring Tommi Jaakkola and Regina Barzilay) |
| 20 Jun | T. Broderick co-organizing Statistical Inference for Network Models Symposium at NetSci 2017 |
| Feb '17 | Prof. Tamara Broderick receives a Google Faculty Research award. Congrats! |
| Jan '17 | Prof. Tamara Broderick holding a Simons Institute Tutorial on Nonparameteric Bayesian Methods in ML. |
| Jan '17 | Prof. Stefanie Jegelka holding a Simons Institute Tutorial on Submodularity in Machine Learning: Theory and Applications. |
| Fall '16 | Welcome new ML graduate students! |
| Dec '16 | Suvrit Sra holding a NIPS Tutorial (with F. Bach) |
| Dec '16 | MLG members organizing 4 NIPS workshops: [1]; [2]; [3]; [4] |
| Aug '16 | 18 papers accepted to NIPS 2016. Congrats! |
| May '16 | 8 papers accepted to ICML 2016. Congrats! |