Angela J. Yu

Publication Activity (10 Years)

Years Active: 2001-2021
Publications (10 Years): 11

Top Topics

Gender Differences

Bayesian Analysis

Decision Making

Top Venues

Publications

Dalin Guo, Angela J. Yu
Revisiting the Role of Uncertainty-Driven Exploration in a (Perceived) Non-Stationary World. CogSci (2021)
Zoe W. He, Angela J. Yu
Gender differences in face-based trait perception and social decision making. CogSci (2021)
Corey Zhou, Dalin Guo, Angela J. Yu
Devaluation of Unchosen Options: A Bayesian Account of the Provenance and Maintenance of Overly Optimistic Expectations. CogSci (2020)
Chaitanya Ryali, Xiaotian Wang, Angela J. Yu
Leveraging Computer Vision Face Representation to Understand Human Face Representation. CogSci (2020)
Jingya Huang, Jianling Liu, Dalin Guo, Chaitanya Ryali, Jinyan Guan, Angela J. Yu
A Model-Based Investigating of the Biological Origin of Human Social Perception of Faces. CogSci (2019)
Chaitanya Ryali, Angela J. Yu
Beauty-in-averageness and its contextual modulations: A Bayesian statistical account. NeurIPS (2018)
Dalin Guo, Angela J. Yu
Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task. NeurIPS (2018)
Chaitanya Ryali, Gautam Reddy, Angela J. Yu
Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation. NeurIPS (2018)
Linjie Li, Vicente L. Malave, Amanda Song, Angela J. Yu
Extracting Human Face Similarity Judgments: Pairs or Triplets? CogSci (2016)
Ning Ma, Angela J. Yu
Stop paying attention: the need for explicit stopping in inhibitory control. CogSci (2016)
Amanda Song, Linjie Li, Vicente L. Malave, Gary Cottrell, Angela J. Yu
Understanding human facial attractiveness from multiple views. CogSci (2016)
Sheeraz Ahmad, Angela J. Yu
A Rational Model for Individual Differences in Preference Choice. CogSci (2015)
Ning Ma, Angela J. Yu
Variability in Human Response Time Reflects Statistical Learning and Adaptive Decision-Making. CogSci (2015)
Shunan Zhang, Man Song, Angela J. Yu
A Bayesian hierarchical model of local-global processing: Visual crowding as a case-study. CogSci (2015)
Sheeraz Ahmad, Angela J. Yu
A Socially Aware Bayesian Model for Competitive Foraging. CogSci (2014)
Shunan Zhang, He Huang, Angela J. Yu
Sequential effects: A Bayesian analysis of prior bias on reaction time and behavioral choice. CogSci (2014)
Sheeraz Ahmad, Angela J. Yu
Active Sensing as Bayes-Optimal Sequential Decision Making. CoRR (2014)
Savas Dayanik, Angela J. Yu
Reward-Rate Maximization in Sequential Identification under a Stochastic Deadline. SIAM J. Control. Optim. 51 (4) (2013)
Sheeraz Ahmad, Angela J. Yu
Active Sensing as Bayes-Optimal Sequential Decision Making. UAI (2013)
Sheeraz Ahmad, He Huang, Angela J. Yu
Context-sensitive active sensing in humans. NIPS (2013)
Pradeep Shenoy, Angela J. Yu
Rational preference shifts in multi-attribute choice: what is fair? CogSci (2013)
Shunan Zhang, Angela J. Yu
Cheap but Clever: Human Active Learning in a Bandit Setting. CogSci (2013)
Shunan Zhang, Angela J. Yu
Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting. NIPS (2013)
Sheeraz Ahmad, Angela J. Yu
Active Sensing as Bayes-Optimal Sequential Decision Making CoRR (2013)
Pradeep Shenoy, Angela J. Yu
Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making. NIPS (2012)
Pradeep Shenoy, Rajesh P. N. Rao, Angela J. Yu
A rational decision making framework for inhibitory control. NIPS (2010)
Yuan Sophie Liu, Angela J. Yu, Philip Holmes
Dynamical Analysis of Bayesian Inference Models for the Eriksen Task. Neural Comput. 21 (6) (2009)
Angela J. Yu, Jonathan D. Cohen
Sequential effects: Superstition or rational behavior? NIPS (2008)
Peter I. Frazier, Angela J. Yu
Sequential Hypothesis Testing under Stochastic Deadlines. NIPS (2007)
Angela J. Yu
Optimal Change-Detection and Spiking Neurons. NIPS (2006)
Peter Dayan, Angela J. Yu
Norepinephrine and Neural Interrupts. NIPS (2005)
Angela J. Yu, Peter Dayan
Inference, Attention, and Decision in a Bayesian Neural Architecture. NIPS (2004)
Angela J. Yu, Martin A. Giese, Tomaso A. Poggio
Biophysiologically Plausible Implementations of the Maximum Operation. Neural Comput. 14 (12) (2002)
Angela J. Yu, Peter Dayan
Expected and Unexpected Uncertainty: ACh and NE in the Neocortex. NIPS (2002)
Angela J. Yu, Peter Dayan
Acetylcholine in cortical inference. Neural Networks 15 (4-6) (2002)
Peter Dayan, Angela J. Yu
ACh, Uncertainty, and Cortical Inference. NIPS (2001)