Online Summer School of Machine Learning at Skoltech, SMILES 2020

[Evgeny Burnaev]

[News] Online Summer School of Machine Learning at Skoltech, SMILES 2020, from 16 August to 21 August 2020

We are happy to announce the upcoming online free-of-charge Summer School of Machine Learning at Skoltech, SMILES, from 16 August to 21 August 2020

http://smiles.skoltech.ru

Overview

SMILES provides graduate and undergraduate students, faculty, and industry professionals with an intense learning experience on the theory and applications of modern machine learning. For six days, a group of internationally renowned experts will offer lectures covering state of the art.

Confirmed Speakers

* SUSAN ATHEY (Stanford Graduate School of Business) - Causal Inference

* EVGENY BURNAEV (Skoltech) - Geometric Methods in ML

* TAMARA BRODERICK (MIT) - Variational Bayes

* KYUNGHYUN CHO (New York University) - Natural Language Processing

* KAMIL CIOSEK (Microsoft Research) - Imitation Learning

* ANNA GOLDENBERG (University of Toronto) - Technical Obstacles to ML Implementation in Healthcare

* KATHARINA KANN (University of Colorado Boulder) - Transfer Learning in NLP

* EMTIYAZ KHAN (RIKEN) - Deep Learning with Bayesian Principles

* ZACHARY LIPTON (Carnegie Mellon University) - Robust DL

* DIMITRIOS PANTAZIS (MIT) - Deep Learning in Neuroscience

* JAN PETERS (TU Darmstadt) - Reinforcement Learning

* SUCHI SARIA (Johns Hopkins University) - Causal Inference for Personalized Decision

* MARIA SCHULD (University of KwaZulu-Natal) - Quantum Machine Learning

* RUTH URNER (York University) - Learning Theory

* SINEAD WILLIAMSON (University of Texas at Austin) - Bayesian Nonparametrics

* ANDREW GORDON WILSON (New York University) - Bayesian Deep Learning

* LIOR WOLF (Tel Aviv University) - Transfer Learning

* KUN ZHANG (Carnegie Mellon University) - Causality

Application Process

Applications from graduate and undergraduate students, faculty, and the industry are welcome. It includes researchers in applied fields as well as students of machine learning itself. The event is online and free of charge. 

We are also seeking to give participants a chance to discuss their work. Hence, each applicant must provide a poster that they would like to present as part of her application. The application system is open now.

For more information, visit http://smiles.skoltech.ru.

Important Dates

Sun, 2 August 2020 23:59 Pacific Time: Deadline for applications.

Mon, 10 August 2020: Notification of acceptance.

Fri, 14 August 2020: Introduction short video submission.

Sun, 16 August to Fri, 21 August 2020: SMILES takes place.

Organizers: Evgeny Burnaev and Rodrigo Rivera Castro.

Please direct inquiries to adase(at)skoltech.ru