Dalin Guo

Bio

I am a Research Engineer at Google DeepMind Applied. I was a Machine Learning Engineer at Twitter Cortex, working on recommender system research.

Prior to that, I am a PhD candidate in Cognitive Science at UC San Diego working with Prof. Angela Yu. I received B.S. in Electrical Engineering from Beijing Institute of Technology in 2016, and master degree in Intelligent Systems, Robotics, and Control from UC San Diego in 2018.

I was a Software Engineer and Machine Learning intern at Facebook working on news feed recommendation during summer 2020. I was a Machine Learning Researcher intern at Twitter Cortex London office working on deep reinforcement learning for online recommendation during summer 2019.

Research Interest

My research interest lies in machine learning and cognitive science. For my PhD research, I use computational methods to understand reward-based human learning and decision-making under uncertainty. My PhD thesis is on modeling human behavior in multi-armed bandit tasks, where an agent chooses among novel options, trading-off between exploration and exploitation.

Publications

Should I send this notification? Optimizing push notifications decision making by modeling the future. Preprint.[pdf]
Conor O’Brien, Huasen Wu, Shaodan Zhai, Dalin Guo, Wenzhe Shi, Jonathan J. Hunt. (2022)

Revisiting the Role of Uncertainty-Driven Exploration in a (Perceived) Non-Stationary World. CogSci 2021.[pdf]
Dalin Guo, Angela J. Yu. (2021)

Deep Bayesian Bandits: Exploring in Online Personalized Recommendations. Recsys 2020.[pdf] [poster] [video]
Dalin Guo, Sofia Ira Ktena, Pranay Kumar Myana, Ferenc Huszár, Michael Kneier, Sourav Das, Wenzhe Shi, Alykhan Tejani. (2020)

Devaluation of Unchosen Options: A Bayesian Account of the Provenance and Maintenance of Overly Optimistic Expectations. CogSci 2020.[pdf]
Corey Yishan Zhou, Dalin Guo, Angela J. Yu. (2020)

A Model-Based Investigation of the Biological Origin of Human Social Perception of Faces. CogSci 2019. [pdf]
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. 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)

Selective Conference Presentation

Role of pupil-linked uncertainties and rewards in value-based decision making.
Conference on Cognitive Computational Neuroscience.
Zoe He, Dalin Guo, Angela J. Yu, Maëva L’Hôtellier, Alexander Paunov, Florent Meyniel (2022)

Information coding in frontoparietal regions reflects individual differences in uncertainty-driven choices.
Conference on Cognitive Computational Neuroscience.
Alexander Paunov, Maëva L’Hôtellier, Florent Meyniel, Dalin Guo, Zoe He, Angela J. Yu (2022)

Evidence for uncertainty-driven human exploration in a novel multi-armed bandit task.
CoSyNe Abstracts 2020, Denver, CO, USA.
Angela J. Yu, Dalin Guo, Florent Meyniel (2020)

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. (Short talk)
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)

Services

Reviewer: Neurips 2020-2022; ICLR 2021-2022; WiML 2017-2019; CCN 2019;