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8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK
Zelda Mariet

Zelda Mariet
Graduate Student, MIT

@ZeldaMariet

Zelda Mariet is a fifth-year PhD student year in the Computer Science and Electrical Engineering Department at MIT, where she studies the theory and application of negatively dependent measures for machine learning model design and optimization. She has interned at Google (Brain, Research, and Machine Intelligence), where she studied problems related to time series prediction and determinantal point processes. Zelda is a recipient of the 2018 Google PhD Fellowship in machine learning. She holds a BS and MS from École Polytechnique in France.

Sessions

11:05–11:45 Thursday, 11 October 2018
Foundations of sequence-to-sequence modeling for time series
Models and Methods
 Location: King's Suite - Balmoral
Secondary topics:  Deep Learning models, Temporal data and time-series
Vitaly Kuznetsov (Google), Zelda Mariet (MIT)
Vitaly Kuznetsov and Zelda Mariet compare sequence-to-sequence modeling to classical time series models and provide the first theoretical analysis of a framework that uses sequence-to-sequence models for time series forecasting. Read more.