Fwd: Thesis Proposal - May 3, 2023 - Ifigeneia Apostolopoulou - Decision-Making Under Latent Factors

[Artur Dubrawski]

And, to provide icing on the cake of multiple excellent Auton presentations
next week, please mark your calendars for Ifi's doctoral thesis proposal
talk on Wednesday.

Cheers
Artur

---------- Forwarded message ---------
From: Diane Stidle <stidle at andrew.cmu.edu>
Date: Fri, Apr 28, 2023 at 2:38 PM
Subject: Thesis Proposal - May 3, 2023 - Ifigeneia Apostolopoulou -
Decision-Making Under Latent Factors
To: ml-seminar at cs.cmu.edu <ML-SEMINAR at cs.cmu.edu>, <fusi at microsoft.com>, <
doucet at stats.ox.ac.uk>, <arnaud-doucet at google.com>


*Thesis Proposal*

Date: May 3, 2023
Time: 3:30pm (EST) (Remote only)
Speaker: Ifigeneia Apostolopoulou

*Title: **Decision-Making Under Latent Factors*

Abstract:
Complex data arise in many fields including health care, neuroscience,
computer vision, and many others. However, they often exhibit simple, yet
unobserved patterns. These patterns can be represented by latent variables
that augment the observations in the system of interest. This thesis
surveys how to use latent variable models to guide decision-making. We
approach decision-making as a workflow of three cognitive tasks: i)
Representation Learning, ii) Temporal Modeling, iii) Uncertainty-Aware
Reasoning. We propose that the processing ability required for each task
can be improved by the use of latent variable models. To demonstrate that,
we first discuss the types of patterns that latent variables need to
capture for each task. Further, we develop inference tools that allow for
expressive posterior distributions. Finally, our empirical analysis
demonstrates the superior performance of latent variable models on several
machine learning problems compared to their counterparts that operate
purely in the observed data space.

*Thesis Committee: *
Artur Dubrawski (Chair)
Ruslan Salakhutdinov
Tom Mitchell
Nicolo Fusi   (Microsoft)
Arnaud Doucet (Google Deepmind)

Zoom Link:
https://cmu.zoom.us/j/96935140004?pwd=akNlbmU4TnRPWWlmWE5wWGIxaU5MZz09


-- 
Diane Stidle
PhD Program Manager
Machine Learning Department
Carnegie Mellon Universitystidle at andrew.cmu.edu
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