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Angela J. Yu

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affiliation: Department of Cognitive Science, University of California, San Diego

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Journal Articles

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2013
[j4]
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Savas Dayanik, Angela J. Yu:
Reward-Rate Maximization in Sequential Identification under a Stochastic Deadline. SIAM J. Control. Optim. 51(4): 2922-2948 (2013)
2009
[j3]
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Yuan Sophie Liu, Angela J. Yu, Philip Holmes:
Dynamical Analysis of Bayesian Inference Models for the Eriksen Task. Neural Comput. 21(6): 1520-1553 (2009)
2002
[j2]
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Angela J. Yu, Martin A. Giese, Tomaso A. Poggio:
Biophysiologically Plausible Implementations of the Maximum Operation. Neural Comput. 14(12): 2857-2881 (2002)
[j1]
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Angela J. Yu, Peter Dayan:
Acetylcholine in cortical inference. Neural Networks 15(4-6): 719-730 (2002)

Conference and Workshop Papers

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2021
[c30]
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Dalin Guo, Angela J. Yu:
Revisiting the Role of Uncertainty-Driven Exploration in a (Perceived) Non-Stationary World. CogSci 2021
[c29]
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Zoe W. He, Angela J. Yu:
Gender differences in face-based trait perception and social decision making. CogSci 2021
2020
[c28]
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Chaitanya Ryali, Xiaotian Wang, Angela J. Yu:
Leveraging Computer Vision Face Representation to Understand Human Face Representation. CogSci 2020
[c27]
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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
2019
[c26]
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  - conf/cogsci/HuangLGRGY19
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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: 1929-1935
2018
[c25]
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Chaitanya Ryali, Gautam Reddy, Angela J. Yu:
Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation. NeurIPS 2018: 2786-2795
[c24]
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Chaitanya Ryali, Angela J. Yu:
Beauty-in-averageness and its contextual modulations: A Bayesian statistical account. NeurIPS 2018: 4086-4096
[c23]
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Dalin Guo, Angela J. Yu:
Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task. NeurIPS 2018: 5182-5191
2016
[c22]
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Linjie Li, Vicente L. Malave, Amanda Song, Angela J. Yu:
Extracting Human Face Similarity Judgments: Pairs or Triplets? CogSci 2016
[c21]
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Ning Ma, Angela J. Yu:
Stop paying attention: the need for explicit stopping in inhibitory control. CogSci 2016
[c20]
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Amanda Song, Linjie Li, Vicente L. Malave, Gary Cottrell, Angela J. Yu:
Understanding human facial attractiveness from multiple views. CogSci 2016
2015
[c19]
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Sheeraz Ahmad, Angela J. Yu:
A Rational Model for Individual Differences in Preference Choice. CogSci 2015
[c18]
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Ning Ma, Angela J. Yu:
Variability in Human Response Time Reflects Statistical Learning and Adaptive Decision-Making. CogSci 2015
[c17]
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Shunan Zhang, Man Song, Angela J. Yu:
A Bayesian hierarchical model of local-global processing: Visual crowding as a case-study. CogSci 2015
2014
[c16]
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Sheeraz Ahmad, Angela J. Yu:
A Socially Aware Bayesian Model for Competitive Foraging. CogSci 2014
[c15]
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Shunan Zhang, He Huang, Angela J. Yu:
Sequential effects: A Bayesian analysis of prior bias on reaction time and behavioral choice. CogSci 2014
2013
[c14]
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  - conf/cogsci/ShenoyY13
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Pradeep Shenoy, Angela J. Yu:
Rational preference shifts in multi-attribute choice: what is fair? CogSci 2013
[c13]
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Shunan Zhang, Angela J. Yu:
Cheap but Clever: Human Active Learning in a Bandit Setting. CogSci 2013
[c12]
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Shunan Zhang, Angela J. Yu:
Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting. NIPS 2013: 2607-2615
[c11]
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Sheeraz Ahmad, He Huang, Angela J. Yu:
Context-sensitive active sensing in humans. NIPS 2013: 2958-2966
[c10]
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Sheeraz Ahmad, Angela J. Yu:
Active Sensing as Bayes-Optimal Sequential Decision Making. UAI 2013
2012
[c9]
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Pradeep Shenoy, Angela J. Yu:
Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making. NIPS 2012: 2132-2140
2010
[c8]
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Pradeep Shenoy, Rajesh P. N. Rao, Angela J. Yu:
A rational decision making framework for inhibitory control. NIPS 2010: 2146-2154
2008
[c7]
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Angela J. Yu, Jonathan D. Cohen:
Sequential effects: Superstition or rational behavior? NIPS 2008: 1873-1880
2007
[c6]
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Peter I. Frazier, Angela J. Yu:
Sequential Hypothesis Testing under Stochastic Deadlines. NIPS 2007: 465-472
2006
[c5]
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Angela J. Yu:
Optimal Change-Detection and Spiking Neurons. NIPS 2006: 1545-1552
2005
[c4]
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Peter Dayan, Angela J. Yu:
Norepinephrine and Neural Interrupts. NIPS 2005: 243-250
2004
[c3]
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Angela J. Yu, Peter Dayan:
Inference, Attention, and Decision in a Bayesian Neural Architecture. NIPS 2004: 1577-1584
2002
[c2]
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Angela J. Yu, Peter Dayan:
Expected and Unexpected Uncertainty: ACh and NE in the Neocortex. NIPS 2002: 157-164
2001
[c1]
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Peter Dayan, Angela J. Yu:
ACh, Uncertainty, and Cortical Inference. NIPS 2001: 189-196

Reference Works

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2014
[r2]
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Angela J. Yu:
Computational Models of Neuromodulation. Encyclopedia of Computational Neuroscience 2014
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Angela J. Yu:
Decision-Making Tasks. Encyclopedia of Computational Neuroscience 2014

Informal and Other Publications

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2024
[i3]
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  - journals/corr/abs-2408-01253
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Prakhar Godara, Tilman Alemán, Angela J. Yu:
Metareasoning in uncertain environments: a meta-BAMDP framework. CoRR abs/2408.01253 (2024)
2014
[i2]
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Sheeraz Ahmad, Angela J. Yu:
Active Sensing as Bayes-Optimal Sequential Decision Making. CoRR abs/1408.2056 (2014)
2013
[i1]
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  - journals/corr/abs-1305-6650
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Sheeraz Ahmad, Angela J. Yu:
Active Sensing as Bayes-Optimal Sequential Decision Making. CoRR abs/1305.6650 (2013)

Coauthor Index

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