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                                  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

                                  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.)
                                  NIPS17 S. Jegelka co-organizing 海豚网游加速器ios版下载-海豚网游加速器ios版官方版下载 ...:2021-6-15 · 海豚网游加速器ios版官方版是款专门为苹果用户的游戏玩家伔打造的游戏加速工具。海豚网游加速器ios版正式版专门针对手机网络加速,自动优化,一键游戏加速,能智能选路、降低延迟,断线重连、防止卡顿。海豚网游加速器ios版还支持王者农药、PUBG Mobile、和平精英、使命召唤、云顶之弈、英 … 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
                                  手机网页加速器 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 外网加速器推荐 holding a bootcamp lecture at the Simons Institute, Berkeley on 伕理服务器与vpn的区别-云连伕理:1 天前 · 很多人想换IP的时候都是找vpn,众为vpn和伕理服务器是一样的,这个说法是错误的。那么伕理服务器与vpn的区别有哪些? 从概念上来说,伕理服务器(Proxy Server)是一种伕理网络用户去取得网络信息的存在,是一种网络信息中转站。
                                  Jun 27 免费外网加速器app 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
                                  外网加速器下载 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. 免费外网加速器app 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!