Basic research

A value-relativistic decision theory predicts known biases in human preferences. Proceedings of Cog Sci, 2011 (pdf)

A cognitive basis for theories of intrinsic motivation. Proceedings of ICDL 2011 (pdf)

Rational inference of relative preferences. Proceedings of NIPS, 2012 (pdf)

Classical conditioning via inference over observable situation contexts. Proceedings of Cog Sci 2014 (pdf)

Frugal preference formation. Proceedings of Cog Sci 2014 (pdf)

Magnitude-sensitive preference formation. Proceedings of NIPS 2014 (pdf)

Choosing fast and slow.Proceedings of Cog Sci 2015 (pdf)

Attention dynamics in multiple object tracking. Proceedings of Cog Sci 2015 (pdf)

Learning what to want: context-sensitive preference learning. PLoS One 2015 (pdf)

Attention modulates spatial precision in multiple object tracking. Topics in Cognitive Science, 2016 (pdf)

Modeling sampling durations in decisions from experience. Proceedings of Cog Sci 2016 (pdf)

Rationalizing subjective probability distortions. Proceedings of CogSci 2017 (extended draft)

A rational analysis of marketing strategies. Proceedings of CogSci 2017 (pdf)

A simple model of recognition and recall memory. Proceedings of NIPS 2017 (pdf)

Evidence for effort prediction in perceptual decisions. Proceedings of CogSci 2019 (pdf)

Decision-makers minimize regret when calculating regret is easy. Proceedings of CogSci 2019 (pdf)

Memory of relative magnitude judgments informs absolute identification. Proceedings of ICCM 2019 (pdf)

Inducing Preference Reversals by Manipulating Revealed Preferences, Proceedings of CogSci 2020 (pdf)

Limits on predictability of risky choice behavior. Proceedings of CogSci 2020 (pdf)

One and known: Incidental probability judgments from very few samples. Proceedings of CogSci 2021 (pdf)

Modeling procrastination as rational metareasoning about task effort. Proceedings of CogSci 2021 (pdf)

Imprecise oracles impose limits to predictability in supervised learning. Proceedings of IJCAI 2021 (preprint)

Applications and collaborative papers

(In reverse chronological order)

With Avijit Roy. Decentralized reinforcement learning for multi-agent patrol routing. Proceedings of AASG@AAMAS 2021

With Jatin Aswal. A recommender system for informal bibliotherapy. Proceedings of HealthRecSys20 at RecSys 2020

With Tushar Shandilya. Using conceptual incongruity as a basis for making recommendations. Proceedings of RecSys 2020

With Anveshna Srivastava and Sanjay Chandrasekaran. Building strategies a?ect concept map quality, Biochemistry and Molecular Biology Education, 2020

With Umair Ahmed, Renuka Sindhgatta and Amey Karkare. Characterizing the Pedagogical Benefits of Adaptive Feedback for Compilation Errors by Novice Programmers, Proceedings of ICSE-SEET , 2020

With Meet Sheth. Predicting body size from mirror selfies. Proceedings of IHCI, 2019

With Umair Ahmed, Renuka Sindhgatta and Amey Karkare. Targeted example generation for compilation errors, Proceedings of ACM ASE , 2019

With Homanga Bharadwaj. New tab page recommendations strongly concentrate web browsing to familiar sources, Proceedings of ACM WebSci , 2019

With Vasundhara Rakesh. Modelling metareasoning about decision thresholds in a perceptual learning task. Proceedings of ICCM , 2018

With Jeeni Rahaman, Harshit Agarwal and Sanjay Chandrasekharan. Mutable concepts and enactable analogies: how manipulatives help in learning area, Cognitive Science , 2018

With Narayanan Srinivasan. Intertemporal impulsivity can also arise from persistent failure of long-term plans: Comment on Nettle and Pepper (2017) Behavioral and Brain Sciences , 2017

With LSR group, HBCSE Mumbai. Seeing Eye to I: The saccadic self. Proceedings of Cog Sci 2015.

With Anveshna Srivastava and Sanjay Chandrasekharan. Track the process, not just the outcome: procedural analysis of concept-mapping reveals stages in students' understanding of biology concepts. Proceedings of AERA 2014

With Paul Freeman, Rohit Pandita and Gary Balas. Model-based and Data-driven Fault Detection Performance for a Small UAV. IEEE Transactions on Mechatronics , May 2013

With Komal Kapoor, Jaideep Srivastava and Paul Schrater. Measuring spontaneous devaluations in user preferences. Proceedings of KDD 2013

With C Wade Savage. A structuralist view of metacognition in animals, Cognitive Critique , 2012

With Amogh Mahapatra and Jaideep Srivastava. Contextual anomaly detection for text data. Algorithms 2012

With Paul Schrater. Active inference with embodied cognitive limitations. Workshop on Information in Perception and Action, NIPS 2012

With Amogh Mahapatra and Jaideep Srivastava. Characterizing the Internet's sense of humor. In Proceedings of IEEE SocialCom/PASSAT, 2012

With Komal Kapoor, Christopher Amato and Paul Schrater. Using POMDPs to Control an Accuracy-Processing Time Tradeoff in Video Surveillance. Proceedings of IAAI, 2012

With Paul R Schrater. Cognitive efficiency as a causal mechanism for social preferences. In Proceedings of IEEE SocialCom/PASSAT, 2011

With Paul R Schrater. A predictive model for self-motivated decision-making behavior. Proceedings of BRIMS (2011)

With Jaideep Srivastava. A hybrid-logic algorithm for fault detection in complex cyber-physical systems. Proceedings of PHM, (2010)

With Pramod K Srivastava, Modeling the repertoire of true tumor-specific MHC I epitopes in a human tumor, PLoS One (2009)

The relativity of theory, (2009) arXiv:0902.3479

With Arindam Banerjee. Conditionally Positive Definite Kernels and Infinitely Divisible Distributions, TR08-034, Dept of CSE, University of Minnesota, 2008

With Sitabhra Sinha. Is inequality inevitable in organized society? In Econophysics of Markets and Business Networks, Springer Milan Press, 2007