About me

Anant Raj PhD Student in Machine Learning. Max-Planck Institute for Intelligent Systems, Empirical Inference Department, Tuebingen, Germany. Email: anant dot raj at tuebingen dot mpg dot de

I am a PhD student in machine learning currently doing research at Max-Planck Institute for Intelligent Systems, Tuebingen in Empirical Inference Department headed by Prof. Bernhard Schoelkopf. A learner for life, I am a motivated individual always searching for experiences which push me beyond my comfort zone. My interest is in understanding problems in general machine learning theory and applications. More specifically, I am interested in kernel methods, theoretical foundation of machine learning, (non-)convex as well as stochastic optimization methods. I have also an vivid interest in understanding the problem of domain adaptation and transfer learning.

Please feel free to navigate through this site to find out more.

News About Me: 

News : Will spend summer of 2018 at Microsoft Research, New England, MA, USA. 
News : New Paper on Sobolev Generative Adversarial Network is accepted to ICLR 2018.
News : Accepted to attend Spring School on "Structural Inference in Statistics", 2018. Looking forward.
News : New Paper on adaptive safe importance sampling is accepted to NIPS 2017 (Spotlight).
News : New Paper on steepest coordinate descent is accepted to ICML 2017.

If we knew what it was we were doing, it would not be called research, would it?

--Albert Einstein

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