Dalin (Darlene) Guo

Bio

I am a PhD student in Cognitive Science at UC San Diego working with Angela J. Yu.

I received B.S. in Electrical Engineering from Beijing Institute of Technology in 2016. I obtained my master degree in Intelligent Systems, Robotics, and Control from UC San Diego in 2018.

I was a Machine Learning Researcher intern at Twitter Cortex working on deep reinforcement learning for online ads recommendation in London, UK, summer 2019.

Research Interest

My research interest lies in machine learning and cognitive science. I use computational methods to understand reward-based human learning and decision-making under uncertainty. My current project is on multi-armed bandit task, where agents choose among novel options, trading-off between exploration and exploitation.

Travels

2020: Cosyne, Denver
2019: Neurips, Vancouver; Bernstein Conference, Berlin; CCN, Berlin
2018: Neurips, Montreal; SfN, San Diego; Cosyne, Denver
2017: Neurips, Long Beach; SfN, Washington DC; Socal ML, Los Angeles

Publications

Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task. NeurIPS 2018. [pdf] [poster]
Dalin Guo, Angela J. Yu. (2018)

Anhedonia and anxiety underlying depressive symptomatology have distinct effects on reward-based decision-making. PLoS ONE, 12(10):e0186473. [pdf]
Katia M. Harle, Dalin Guo, Shunan Zhang, Martin P. Paulus, Angela J. Yu. (2017)

Conference Presentation

Deep Bayesian Bandits for Online Personalized Recommendations. 14th Women in Machine Learning Workshop, Vancouver, CA.
Dalin Guo, Sofia Ira Ktena, Ferenc Huszar, Wenzhe Shi, Alykhan Tejani. (2019)

Human learning and decision-making in the bandit task: Three wrongs make a right 2019 Conference on Cognitive Computational Neuroscience, Berlin, Germany
Dalin Guo, Angela J. Yu. (2019)

A Model-Based Investigation of the Biological Origin of Human Social Perception of Faces. Cognitive Science Society Conference, Montreal, CA.
Sophia J. Huang, Chaitanya K. Ryali, Jianling Liu, Dalin Guo, Jinyan Guan, Yvonne Li, Angela J. Yu. (2019)

Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task. 13th Women in Machine Learning Workshop, Montreal, CA.
Dalin Guo, Angela J. Yu. (2018)

Humans underestimate reward probability and overestimate environmental volatility in a multi-armed bandit task - insights from a Bayesian analysis of human learning and decision-making. SfN Annual Meeting, San Diego, CA, USA.(Oral)
Dalin Guo, Angela J. Yu. (2018)

Recovering human reward expectation in a bandit setting using Bayesian models. CoSyNe Abstracts 2018, Denver, CO, USA.
Dalin Guo, Florent Meyniel, Angela J. Yu. (2018)

Human learning and decision-making in the multi-armed bandit task. 12th Women in Machine Learning Workshop, Long Beach, CA, USA .
Dalin Guo, Angela J. Yu. (2017)

Dependence of reward-based learning and decision-making on environmental statistics such as reward abundance and variance. SfN Annual Meeting, Washington D.C., USA.
Dalin Guo, Angela J. Yu. (2017)

Human learning and decision-making in the multi-armed bandit task. SoCal Machine Learning Symposium, Los Angeles, CA, USA.
Dalin Guo, Angela J. Yu. (2017)

Services

Reviewer: WiML 2017, 2018, 2019; Neurips 2019; CCN 2019
Area Chair: WiML 2019

Teaching

COGS 3. Intro to Computing - Fall 2019
COGS 178. Genes, Brains, and Behavior - Spring 2019
COGS 118A. Supervised Machine Learning Algorithms - Fall 2018
COGS 118D. Mathematical Statistics - Winter 2018, 17