Alex Smola
Alex Smola
Researcher Google DeepMind | Carnegie Mellon University 52 YEARS OLD
Alex Smola is a highly accomplished computer scientist interested in machine learning and statistical modeling. He completed his Master's in Physics from the University of Technology, Munich, and his Doctoral Degree in Computer Science from the University of Technology, Berlin. After working as a researcher in different organizations, he moved to Google Research in 2012 and continued working there until 2014. He then joined Amazon Web Services in 2016 as VP / Distinguished Scientist for Machine Learning.
Alex's primary research interests lie in deep learning, scalability of algorithms, kernel methods, and statistical modeling, primarily with Bayesian non-parametric. He is particularly interested in developing algorithms for state updates, invariances, and statistical testing. He is also interested in pushing algorithms to the internet scale, distributing them on many machines, and modifying models to fit these requirements.
Alex's research also focuses on applying machine learning techniques to solve problems such as user modeling, document analysis, temporal models, and modeling data at scale. He is always looking for talented interns and team members with experience in deep learning, statistical modeling, efficient algorithms, and high-performance computing systems. Although he is not currently accepting Ph.D. students, he suggests that interested applicants apply to the Machine Learning Department at Carnegie Mellon University.
Dive into Deep Learning -- Interactive Book
Alex's primary research interests lie in deep learning, scalability of algorithms, kernel methods, and statistical modeling, primarily with Bayesian non-parametric. He is particularly interested in developing algorithms for state updates, invariances, and statistical testing. He is also interested in pushing algorithms to the internet scale, distributing them on many machines, and modifying models to fit these requirements.
Alex's research also focuses on applying machine learning techniques to solve problems such as user modeling, document analysis, temporal models, and modeling data at scale. He is always looking for talented interns and team members with experience in deep learning, statistical modeling, efficient algorithms, and high-performance computing systems. Although he is not currently accepting Ph.D. students, he suggests that interested applicants apply to the Machine Learning Department at Carnegie Mellon University.
Dive into Deep Learning -- Interactive Book
Summary of recent tweets
Based on the recent tweets by Alex Smola, it can be observed that he has been tweeting about various topics related to AI and research opportunities. In one of his tweets, he mentions actively looking for ELLIS Ph.D. students to join his lab at IST Austria. This indicates that he is involved in academic pursuits and is seeking talented individuals to work with him. Another trend in Alex Smola's tweets is his engagement with the AutoML community. He shares a podcast episode where he discusses AutoGluon, its creation, how it works, and its future direction. This suggests that he is interested in and actively involved in the development of automated machine learning tools. Additionally, Alex Smola shares job openings at Boson AI, indicating that he is associated with this organization and looking for professionals specializing in systems administration, site reliability engineering, DevOps engineering, and more. This highlights his involvement in building an AI-focused company and expanding its team. Overall, based on the analyzed tweets, Alex Smola seems positive about the advancements and opportunities in AI. His active participation in research collaborations, recruitment efforts for his lab and organization reflect a positive outlook on the field of artificial intelligence. In summary: - Alex Smola has been tweeting about topics such as research opportunities (e.g., ELLIS Ph.D. student positions) at IST Austria. - He shows interest in AutoML (Automated Machine Learning) as seen through sharing a podcast episode discussing AutoGluon. - He promotes job openings at Boson AI which implies his involvement with this organization. - Overall sentiment: Positive - Alex Smola appears optimistic about the developments and prospects within the field of AI based on his activities mentioned above.Books By Researcher Alex Smola
Dive into Deep Learning
Predicting Structured Data
Videos Featuring Researcher Alex Smola
AI for Ukraine - Talk with Alex J. Smola
![[AutoMLConf'22]: Keynote by Alex Smola](https://i.ytimg.com/vi/x-EEDBSl3OM/hqdefault.jpg)
[AutoMLConf'22]: Keynote by Alex Smola
Applied AI Research at AWS with Alex Smola - #487
L1/2 Deep Learning Overview
Building for Voice with Jason Mars and Alex Smola
Data Science in the Cloud - Alex Smola (Amazon)
IEEEAISymp17-S1: Deep Learning at AWS, Alex Smola, Amazon
Alex Smola at AI Frontiers: Scaling Deep Learning with MXNet
Head, Torso and Tail - Performance for modeling real data, Alex Smola
Machine Learning 10-701 2013/H2 Lecture 1