Fwd: Thesis Proposal - April 18, 2022 - Kin Gutierrez Olivares - Applied Mathematics of the Future or the Future of Forecast

[Artur Dubrawski]

Team,

Please mark your calendar for this classy event.

Cheers,
Artur

(PS Mononito: Do we want to consider it a fulfillment of our weekly
brainstorming session for that Monday?)





---------- Forwarded message ---------
From: Diane Stidle <stidle at andrew.cmu.edu>
Date: Tue, Apr 5, 2022 at 5:52 PM
Subject: Thesis Proposal - April 18, 2022 - Kin Gutierrez Olivares -
Applied Mathematics of the Future or the Future of Forecast
To: ml-seminar at cs.cmu.edu <ML-SEMINAR at cs.cmu.edu>, <robstine at amazon.com>


*Thesis Proposal*

Date: April 18, 2022
Time: 1:30pm (EDT) (Remote)
Speaker: Kin Gutierrez Olivares

*Title: Applied Mathematics of the Future or the Future of Forecast*

Abstract:
Novel learning algorithms have enhanced our ability to acquire knowledge
solely from past observations of single events to learn from the
observations of several related events. This ability to leverage shared
useful information across time series is causing a paradigm shift in the
time-series forecasting practice.
In this proposed thesis, we aim to advance time-series forecasting methods
powered by machine learning and address some of the most pressing
challenges that limit usability, usefulness, and attainable real-world
impact of the existing technology, including human interpretability, the
ability to leverage structured information, generalization capabilities and
computational costs.

*Thesis Committee:*
Artur Dubrawski (Chair)
Barnabas Poczos
Russ Salakhutdinov
Robert A. Stine (Amazon)

Zoom Meeting link:
https://cmu.zoom.us/s/92165828919?pwd=b0dPUW1jNS9BeDA0NEZBTTBSUGhpQT09

Link to Draft Document:
https://drive.google.com/file/d/15hE6NapHCOEO0wxgvjLdv6XUhYLxAa3N/view?usp=sharing

-- 
Diane Stidle
Graduate Programs Manager
Machine Learning Department
Carnegie Mellon Universitystidle at andrew.cmu.edu
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