Christopher G. Lucas

Orcid: 0000-0002-6655-8627

Affiliations:
  • University of Edinburgh, School of Informatics, UK
  • Carnegie Mellon University, Department of Psychology, Pittsburgh, PA, USA (2010 - 2013)
  • University of California, Berkeley, Department of Psychology, CA, USA (PhD 2010)


According to our database1, Christopher G. Lucas authored at least 54 papers between 2008 and 2024.

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Bibliography

2024
ICED: Zero-Shot Transfer in Reinforcement Learning via In-Context Environment Design.
CoRR, 2024

2023
Data-driven Prior Learning for Bayesian Optimisation.
CoRR, 2023

Balancing utility and cognitive cost in social representation.
CoRR, 2023

How the level sampling process impacts zero-shot generalisation in deep reinforcement learning.
CoRR, 2023

DreamDecompiler: Improved Bayesian Program Learning by Decompiling Amortised Knowledge.
CoRR, 2023

Bayesian Optimisation Against Climate Change: Applications and Benchmarks.
CoRR, 2023

Designing Optimal Behavioral Experiments Using Machine Learning.
CoRR, 2023

Selective imitation on the basis of reward function similarity.
CoRR, 2023

Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-Making.
CoRR, 2023

Non-Compositionality in Sentiment: New Data and Analyses.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Actively learning to learn causal relationships.
CoRR, 2022

A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning.
CoRR, 2022

Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Bayesian Optimisation for Active Monitoring of Air Pollution.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Flower Detection Using Object Analysis: New Ways to Quantify Plant Phenology in a Warming Tundra Biome.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Building Object-based Causal Programs for Human-like Generalization.
CoRR, 2021

Bayesian Optimal Experimental Design for Simulator Models of Cognition.
CoRR, 2021

2020
Optimising Placement of Pollution Sensors in Windy Environments.
CoRR, 2020

Learning Hidden Causal Structure from Temporal Data.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Uncovering Category Representations with Linked MCMC with People.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Exploring Category Structure in Children and Adults.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Incremental Hypothesis Revision in Causal Reasoning Across Development.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019
Tutorbot Corpus: Evidence of Human-Agent Verbal Alignment in Second Language Learner Dialogues.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Inattentional Blindness in Visual Search.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Reward Function Complexity and Goals in Exploration-Exploitation Tasks.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Generalizing Functions in Sparse Domains.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Exploring the Representation of Linear Functions.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Epistemic drive and memory manipulations in explore-exploit problems.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

I Wanna Talk Like You: Speaker Adaptation to Dialogue Style in L2 Practice Conversation.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018
Does Ability Affect Alignment in Second Language Tutorial Dialogue?
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, 2018

Data Availability and Function Extrapolation.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Automated Reasoning in the Age of the Internet.
Proceedings of the Artificial Intelligence and Symbolic Computation, 2018

2017
Identifying Causal Direction in the Two-Variable Case.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Finding Periodic Discrete Events in Noisy Streams.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Functional Inferences over Heterogeneous Data.
Proceedings of the Web Reasoning and Rule Systems - 10th International Conference, 2016

The construction of function representations.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Investigating the Explore/Exploit Trade-off in Adult Causal Inferences.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015
The Human Kernel.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Inferring causal structure and hidden causes from event sequences.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Learning to reason about desires: An infant training study.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
Discovering hidden causes using statistical evidence.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013
What if? Counterfactual reasoning, pretense, and the role of possible worlds.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012
Non-Bayesian Inference: Causal Structure Trumps Correlation.
Cogn. Sci., 2012

Determining people's expectations about the form of causal relationships.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Superspace extrapolation reveals inductive biases in function learning.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

A unified theory of counterfactual reasoning.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011
Evaluating the inverse decision-making approach to preference learning.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A Bayesian model of navigation in squirrels.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

From preferences to choices and back again: evidence for human inconsistency and its implications.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Young Toddlers' Understanding of Graded Preferences.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010
Learning the Form of Causal Relationships Using Hierarchical Bayesian Models.
Cogn. Sci., 2010

Inferring Hidden Causal Structure.
Cogn. Sci., 2010

2008
A rational model of preference learning and choice prediction by children.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Modeling human function learning with Gaussian processes.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008


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