Juba, Brendan

38 publications

ICLR 2025 Distribution-Specific Agnostic Conditional Classification with Halfspaces Jizhou Huang, Brendan Juba

IJCAI 2025 Polynomial-Time Relational Probabilistic Inference in Open Universes Luise Ge, Brendan Juba, Kris Nilsson

AAAI 2024 An Approximate Skolem Function Counter Arijit Shaw, Brendan Juba, Kuldeep S. Meel

AAAI 2024 Learning Safe Action Models with Partial Observability Hai S. Le, Brendan Juba, Roni Stern

IJCAI 2024 The Impact of Features Used by Algorithms on Perceptions of Fairness Andrew Estornell, Tina Zhang, Sanmay Das, Chien-Ju Ho, Brendan Juba, Yevgeniy Vorobeychik

NeurIPSW 2023 Learning Safe Action Models with Partial Observability Brendan Juba, Hai S Le, Roni Stern

AAAI 2023 Learning Safe Numeric Action Models Argaman Mordoch, Brendan Juba, Roni Stern

AAAI 2023 Popularizing Fairness: Group Fairness and Individual Welfare Andrew Estornell, Sanmay Das, Brendan Juba, Yevgeniy Vorobeychik

NeurIPSW 2023 Stochastic Safe Action Model Learning Zihao Deng, Brendan Juba

TMLR 2023 The (Un)Scalability of Informed Heuristic Function Estimation in NP-Hard Search Problems Sumedh Pendurkar, Taoan Huang, Brendan Juba, Jiapeng Zhang, Sven Koenig, Guni Sharon

AISTATS 2022 Conditional Linear Regression for Heterogeneous Covariances Leda Liang, Brendan Juba

AISTATS 2022 Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value Functions Zihao Deng, Siddartha Devic, Brendan Juba

COLT 2022 Hardness of Maximum Likelihood Learning of DPPs Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie

AAAI 2022 Learning Probably Approximately Complete and Safe Action Models for Stochastic Worlds Brendan Juba, Roni Stern

AISTATS 2021 List Learning with Attribute Noise Mahdi Cheraghchi, Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie

IJCAI 2021 Learning Implicitly with Noisy Data in Linear Arithmetic Alexander Philipp Rader, Ionela G. Mocanu, Vaishak Belle, Brendan Juba

ICLR 2021 One Network Fits All? Modular Versus Monolithic Task Formulations in Neural Networks Atish Agarwala, Abhimanyu Das, Brendan Juba, Rina Panigrahy, Vatsal Sharan, Xin Wang, Qiuyi Zhang

ICML 2021 Probabilistic Generating Circuits Honghua Zhang, Brendan Juba, Guy Van Den Broeck

JAIR 2021 Safe Multi-Agent Pathfinding with Time Uncertainty Tomer Shahar, Shashank Shekhar, Dor Atzmon, Abdallah Saffidine, Brendan Juba, Roni Stern

AISTATS 2020 Conditional Linear Regression Diego Calderon, Brendan Juba, Sirui Li, Zongyi Li, Lisa Ruan

AAAI 2020 More Accurate Learning of K-DNF Reference Classes Brendan Juba, Hengxuan Li

AISTATS 2019 Conditional Sparse $L_p$-Norm Regression with Optimal Probability John Hainline, Brendan Juba, Hai S. Le, David Woodruff

ALT 2019 Hardness of Improper One-Sided Learning of Conjunctions for All Uniformly Falsifiable CSPs Alexander Durgin, Brendan Juba

NeurIPS 2019 Implicitly Learning to Reason in First-Order Logic Vaishak Belle, Brendan Juba

AAAI 2019 Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics Brendan Juba

AAAI 2019 Precision-Recall Versus Accuracy and the Role of Large Data Sets Brendan Juba, Hai S. Le

AAAI 2019 Safe Partial Diagnosis from Normal Observations Roni Stern, Brendan Juba

WACV 2018 Anomaly Explanation Using Metadata Di Qi, Joshua Arfin, Mengxue Zhang, Tushar Mathew, Robert Pless, Brendan Juba

AAAI 2018 Conditional Linear Regression Diego Calderon, Brendan Juba, Zongyi Li, Lisa Ruan

AAAI 2018 Learning Abduction Under Partial Observability Brendan Juba, Zongyi Li, Evan Miller

AAAI 2018 Learning Abduction Using Partial Observability Brendan Juba, Zongyi Li, Evan Miller

IJCAI 2017 Coordinated Versus Decentralized Exploration in Multi-Agent Multi-Armed Bandits Mithun Chakraborty, Kai Yee Phoebe Chua, Sanmay Das, Brendan Juba

IJCAI 2017 Efficient, Safe, and Probably Approximately Complete Learning of Action Models Roni Stern, Brendan Juba

JMLR 2016 Integrated Common Sense Learning and Planning in POMDPs Brendan Juba

AAAI 2016 Learning Abductive Reasoning Using Random Examples Brendan Juba

IJCAI 2013 Implicit Learning of Common Sense for Reasoning Brendan Juba

ALT 2011 Semantic Communication for Simple Goals Is Equivalent to On-Line Learning Brendan Juba, Santosh S. Vempala

ICML 2006 Estimating Relatedness via Data Compression Brendan Juba