Publications of E Schulz
All genres
Journal Article (34)
Journal Article
127 (3), pp. 412 - 441 (2020)
A theory of learning to infer. Psychological Review
Journal Article
It's new, but is it good? How generalization and uncertainty guide the exploration of novel options. (submitted)
Journal Article
30 (11), pp. 1561 - 1572 (2019)
Searching for rewards like a child means less generalization and more directed exploration. Psychological Science
Journal Article
116 (28), pp. 13903 - 13908 (2019)
Structured, uncertainty-driven exploration in real-world consumer choice. Proceedings of the National Academy of Sciences of the United States of America
Journal Article
55, pp. 7 - 14 (2019)
The algorithmic architecture of exploration in the human brain. Current Opinion in Neurobiology
Journal Article
2 (12), pp. 915 - 924 (2018)
Generalization guides human exploration in vast decision spaces. Nature Human Behaviour
Journal Article
42 (8), pp. 2592 - 2620 (2018)
Generalization and search in risky environments. Cognitive Science
Journal Article
178, pp. 67 - 81 (2018)
Remembrance of Inferences Past: Amortization in Human Hypothesis Generation. Cognition
Journal Article
85, pp. 1 - 16 (2018)
A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions. Journal of Mathematical Psychology
Journal Article
44 (6), pp. 927 - 943 (2018)
Putting Bandits Into Context: How Function Learning Supports Decision Making. Journal of Experimental Psychology: Learning, Memory, and Cognition
Journal Article
99, pp. 44 - 79 (2017)
Compositional Inductive Biases in Function Learning. Cognitive Neuroscience
Journal Article
96, pp. 1 - 25 (2017)
Where Do Hypotheses Come From? Cognitive Psychology
Journal Article
7 (1), pp. 25 - 47 (2012)
Measuring risk literacy: The Berlin numeracy test. Judgment and Decision Making
Journal Article
20 (4), pp. 1722 - 1731 (2011)
Persistent bias in expert judgments about free will and moral responsibility: A test of the expertise defense. Consciousness and Cognition Book (1)
Book
The Drive for Knowledge: The Science of Human Information-Seeking. Cambridge University Press, Cambridge, UK (2022), 292 pp.
Book Chapter (3)
Book Chapter
Wu, C.; Schulz, E.). Cambridge University Press, Cambridge, UK (2022)
Exploration beyond bandits. In: The Drive for Knowledge: The Science of Human Information-Seeking, pp. 147 - 168 (Eds. Cogliati Dezza, I.;
Book Chapter
Schulz, E.; Wu, C.). Cambridge University Press, Cambridge, UK (2022)
Future challenges. In: The drive for knowledge: The science of human information seeking, pp. 279 - 290 (Eds. Cogliati Dezza, I.;
Book Chapter
How to measure risk comprehension in educated samples. In: Transparent communication of health risks: Overcoming cultural differences, pp. 29 - 52. Springer, New York, NY, USA (2013)
Conference Paper (46)
Conference Paper
Biologically-plausible hierarchical chunking on mixed-signal neuromorphic hardware. In: NeurIPS 2023 Workshop: Machine Learning with New Compute Paradigms. NeurIPS 2023 Workshop: Machine Learning with New Compute Paradigms, New Orleans, LA, USA, December 16, 2023. (2023)
Conference Paper
Meta-in-context learning in large language models. In: Advances in Neural Information Processing Systems 36: 37th Conference on Neural Information Processing Systems (NeurIPS 2023). Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA, December 10, 2023 - December 16, 2023. (2023)