Shah, Julie A.

25 publications

IJCAI 2025 Inference of Human-Derived Specifications of Object Placement via Demonstration Alex Cuellar, Ho Chit Siu, Julie A. Shah

NeurIPS 2024 Enhancing Preference-Based Linear Bandits via Human Response Time Shen Li, Yuyang Zhang, Zhaolin Ren, Claire Liang, Na Li, Julie A. Shah

NeurIPS 2023 Human-Guided Complexity-Controlled Abstractions Andi Peng, Mycal Tucker, Eoin Kenny, Noga Zaslavsky, Pulkit Agrawal, Julie A Shah

ICML 2022 Prototype Based Classification from Hierarchy to Fairness Mycal Tucker, Julie A. Shah

NeurIPS 2022 Trading Off Utility, Informativeness, and Complexity in Emergent Communication Mycal Tucker, Roger P. Levy, Julie A Shah, Noga Zaslavsky

NeurIPS 2021 Emergent Discrete Communication in Semantic Spaces Mycal Tucker, Huao Li, Siddharth Agrawal, Dana Hughes, Katia Sycara, Michael Lewis, Julie A Shah

AAAI 2019 Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior Vaibhav V. Unhelkar, Julie A. Shah

CoRL 2019 Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration Vaibhav V. Unhelkar, Shen Li, Julie A. Shah

NeurIPS 2018 Bayesian Inference of Temporal Task Specifications from Demonstrations Ankit Shah, Pritish Kamath, Julie A Shah, Shen Li

JAIR 2018 Human-Machine Collaborative Optimization via Apprenticeship Scheduling Matthew C. Gombolay, Reed Jensen, Jessica Stigile, Toni Golen, Neel Shah, Sung-Hyun Son, Julie A. Shah

IJCAI 2018 Learning and Communicating the Latent States of Human-Machine Collaboration Vaibhav V. Unhelkar, Julie A. Shah

IJCAI 2018 Learning to Infer Final Plans in Human Team Planning Joseph Kim, Matthew E. Woicik, Matthew C. Gombolay, Sung-Hyun Son, Julie A. Shah

AAAI 2017 Collaborative Planning with Encoding of Users' High-Level Strategies Joseph Kim, Christopher J. Banks, Julie A. Shah

JAIR 2017 Perturbation Training for Human-Robot Teams Ramya Ramakrishnan, Chongjie Zhang, Julie A. Shah

IJCAI 2016 Apprenticeship Scheduling: Learning to Schedule from Human Experts Matthew C. Gombolay, Reed Jensen, Jessica Stigile, Sung-Hyun Son, Julie A. Shah

IJCAI 2016 Co-Optimizating Multi-Agent Placement with Task Assignment and Scheduling Chongjie Zhang, Julie A. Shah

AAAI 2016 ConTaCT: Deciding to Communicate During Time-Critical Collaborative Tasks in Unknown, Deterministic Domains Vaibhav V. Unhelkar, Julie A. Shah

IJCAI 2016 Fast Motion Prediction for Collaborative Robotics Claudia Pérez-D'Arpino, Julie A. Shah

JAIR 2015 Inferring Team Task Plans from Human Meetings: A Generative Modeling Approach with Logic-Based Prior Been Kim, Caleb M. Chacha, Julie A. Shah

NeurIPS 2015 Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction Been Kim, Julie A Shah, Finale Doshi-Velez

AAAI 2015 On Fairness in Decision-Making Under Uncertainty: Definitions, Computation, and Comparison Chongjie Zhang, Julie A. Shah

AAAI 2015 Scalable and Interpretable Data Representation for High-Dimensional, Complex Data Been Kim, Kayur Patel, Afshin Rostamizadeh, Julie A. Shah

NeurIPS 2014 Fairness in Multi-Agent Sequential Decision-Making Chongjie Zhang, Julie A Shah

NeurIPS 2014 The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification Been Kim, Cynthia Rudin, Julie A Shah

AAAI 2013 Inferring Robot Task Plans from Human Team Meetings: A Generative Modeling Approach with Logic-Based Prior Been Kim, Caleb M. Chacha, Julie A. Shah