Publications of E Schulz

Wu, C.; Schulz, E.; Speekenbrink, M.; Nelson, J.; Meder, B.: Mapping the unknown: The spatially correlated multi-armed bandit. In: 39th Annual Meeting of the Cognitive Science Society (CogSci 2017): Computational Foundations of Cognition, pp. 1357 - 1362. 39th Annual Meeting of the Cognitive Science Society (CogSci 2017), London, UK, July 26, 2017 - July 29, 2017. Curran, Red Hook, NY, USA (2017)

Schulz, E.; Tenenbaum, J.; Duvenaud, D.; Speekenbrink, M.; Gershman, S.: Probing the Compositionality of Intuitive Functions. In: Advances in Neural Information Processing Systems 29 (NIPS 2016), pp. 3736 - 3744 (Eds. Lee, D.; Sugiyama , M.; von Luxburg, U.; Guyon, I.; Garnett, R.). 30th Annual Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain, December 05, 2016 - December 10, 2016. Curran, Red Hook, NY, USA (2017)

Schulz, E.; Huys, Q.; Bach, D.; Speekenbrink, M.; Krause, A.: Better safe than sorry: Risky function exploitation through safe optimization. In: 38th Annual Meeting of the Cognitive Science Society (CogSci 2016): Recognizing and Representing Events, pp. 1140 - 1145 (Eds. Papafragou, A.; Grodner, D.; Mirman, D.; Trueswell, J.). 38th Annual Meeting of the Cognitive Science Society (CogSci 2016), Philadelphia, PA, USA, August 10, 2016 - August 13, 2016. Curran, Red Hook, NY, USA (2017)

Schulz, E.; Speekenbrink, M.; Meder, B.: Simple trees in complex forests: Growing Take The Best by Approximate Bayesian Computation. In: 38th Annual Meeting of the Cognitive Science Society (CogSci 2016): Recognizing and Representing Events, pp. 2531 - 2536 (Eds. Papafragou, A.; Grodner, D.; Mirman, D.; Trueswell, J.). 38th Annual Meeting of the Cognitive Science Society (CogSci 2016), Philadelphia, PA, USA, August 10, 2016 - August 13, 2016. Curran, Red Hook, NY, USA (2017)

Schulz, E.; Speekenbrink, M.; Hernández-Lobato, J.; Ghahramani, Z.; Gershman, S.: Quantifying mismatch in Bayesian optimization. In: NIPS Workshop Bayesian Optimization: Black-box Optimization and Beyond (BayesOpt 2016), pp. 1890 - 1895. NIPS Workshop Bayesian Optimization: Black-box Optimization and Beyond (BayesOpt 2016), Barcelona, Spain, December 11, 2016. (2016)

Parpart, P.; Schulz, E.; Speekenbrink, M.; Love, B.: Active learning as a means to distinguish among prominent decision strategies. In: 37th Annual Meeting of the Cognitive Science Society (CogSci 2015): Mind, Technology and Society, pp. 1829 - 1834 (Eds. Noelle, D.; Dale, R.; Warlaumont, A.; Yoshimi, J.; Matlock, T. et al.). 37th Annual Meeting of the Cognitive Science Society (CogSci 2015), Pasadena, CA, USA, July 22, 2015 - July 25, 2015. Cognitive Science Society, Austin, TX, USA (2015)

Schulz, E.; Konstantinidis, E.; Speekenbrink, M.: Learning and decisions in contextual multi-armed bandit tasks. In: 37th Annual Meeting of the Cognitive Science Society (CogSci 2015): Mind, Technology and Society, pp. 2122 - 2127 (Eds. Noelle, D.; Dale, R.; Warlaumont, A.; Yoshimi, J.; Matlock, T. et al.). 37th Annual Meeting of the Cognitive Science Society (CogSci 2015), Pasadena, CA, USA, July 22, 2015 - July 25, 2015. Cognitive Science Society, Austin, TX, USA (2015)

Schulz, E.; Tenenbaum, J.; Reshef, D.; Speekenbrink, M.; Gershman, S.: Assessing the perceived predictability of functions. In: 37th Annual Meeting of the Cognitive Science Society (CogSci 2015): Mind, Technology and Society, pp. 2116 - 2121 (Eds. Noelle, D.; Dale, R.; Warlaumont, A.; Yoshimi, J.; Matlock, T. et al.). 37th Annual Meeting of the Cognitive Science Society (CogSci 2015), Pasadena, CA, USA, July 22, 2015 - July 25, 2015. Cognitive Science Society, Austin, TX, USA (2015)

Schulz, E.; Konstantinidis, E.; Speekenbrink, M.: Exploration-Exploitation in a Contextual Multi-Armed Bandit Task. In: 13th International Conference on Cognitive Modeling (ICCM 2015), pp. 118 - 123 (Eds. Taatgen, N.; van Vugt, M.; Borst, J.; Mehlhorn, K.). 13th International Conference on Cognitive Modeling (ICCM 2015), Groningen, The Netherlands, May 09, 2015 - May 11, 2015. (2015)

Schulz, E.; Speekenbrink, M.; Shanks, D.: Predict choice: a comparison of 21 mathematical model. In: 36th Annual Meeting of the Cognitive Science Society (CogSci 2014): Cognitive Science Meets Artificial Intelligence: Human and Artificial Agents in Interactive Contexts, pp. 2889 - 2894. 36th Annual Meeting of the Cognitive Science Society (CogSci 2014), Quebec City, Canada, July 23, 2014 - July 26, 2014. Cognitive Science Society, Austin, TX, USA (2014)

Schulz, L.; Schulz, E.; Bhui, R.; Dayan, P.: Towards a computational cognitive perspective of misinformation. In NeNa Conference 2021: Neurowissenschaftliche Nachwuchskonferenz (Conference of Junior Neuroscientists), T10, p. 11. 22nd Conference of Junior Neuroscientists (NeNa 2021), Tübingen, Germany, October 07, 2021. (2021)

Garvert, M.; Schulz, E.; Saanum, T.; Schuck, N.; Doeller, C.: Stimulus-reward learning and generalization in structured environments. In Psychologie und Gehirn (PuG 2021), SP037, p. 98. 46. Jahrestagung Psychologie und Gehirn (PuG 2021), June 02, 2021 - June 04, 2021. (2021)

Schulz, E.: Compositional generalization in multi-armed bandits. In Psychologie und Gehirn (PuG 2021), SP038, p. 99. 46. Jahrestagung Psychologie und Gehirn (PuG 2021), June 02, 2021 - June 04, 2021. (2021)

Bertram, L.; Schulz, E.; Hofer, M.; Martignon, L.; Nelson, J.: Digital game-based learning about entropy. In Budapest CEU Conference on Cognitive Development (BCCCD 2021), A-0177, p. 213. 11th Budapest CEU Conference on Cognitive Development (BCCCD 2021), Budapest, Hungary, January 04, 2021 - January 08, 2021. (2021)

Bertram, L.; Nelson, J.; Schulz, E.: The Role of Emotions in Probability Evaluations. In Abstracts of the Psychonomic Society, 25, 2099, p. 193. 61st Annual Meeting of the Psychonomic Society (PS 2020), November 19, 2020 - November 21, 2020. (2020)

Bertram, L.; Schulz, E.; Zel, E.; Hofer, M.; Martignon, L.; Nelson, J.: Masterminding in Education: Bringing cognition, emotion and motivation together in a unified mathematical framework. In 41st Annual Meeting of the Cognitive Science Society (CogSci 2019): Creativity + Cognition + Computation, p. 3410 (Eds. Goel, A.; Seifert, C.; Freksa, C.). 41st Annual Cognitive Science Society Meeting (CogSci 2019), Montreal, Canada, July 24, 2019 - July 27, 2019. Curran, Red Hook, NY, USA (2019)

Wu, C.; Schulz, E.; Speekenbrink, M.; Nelson, J.; Meder, B.: Mapping the unknown: model-based and model-free approaches towards spatial reinforcement learning. In TeaP 2017: Abstracts of the 59th Conference of Experimental Psychologists (Eds. Goschke, T.; Bolte, A.; Kirschbaum, C.). 59th Conference of Experimental Psychologists (TeaP 2017), Dresden, Germany, March 26, 2017 - March 29, 2017. Pabst, Lengerich, Germany (2017)

Bartels, D.; Reinholtz, N.; Love, B.; Le Mens, G.; Newell, B.; Schulz, E.; Rich, A.: Sampling and Decision Making: How People Interact to Learn and Profit in Stochastic Multi-Stage Environments. In International Conference on Thinking (ICT 2016). International Conference on Thinking (ICT 2016), Providence, RI, USA, August 04, 2016 - August 06, 2016. (2016)

Schulz, E.: Active function learning as Gaussian Process optimization. In TeaP 2015: Abstracts of the 57th Conference of Experimental Psychologists, p. 231 (Eds. Bermeitinger, C.; Moijzisch, A.; Greve, W.). 57th Conference of Experimental Psychologists (TeaP 2015), Hildesheim, Germany, March 08, 2015 - March 11, 2015. Pabst, Lengerich, Germany (2015)

Brändle, F.; Allen, K.; Tenenbaum, J.; Schulz, E.: Using Games to Understand Intelligence. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021): Workshop 2 Using Games to Understand Intelligence (2021)