Brendan Juba - RankMe

107 papers A* 33A 13B 2C 1Journal 52Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Lifted Relational Probabilistic Inference via Implicit Learning. CoRR Luise Ge, Brendan Juba, Kris Nilsson, Alison Shao
2026	A*	`conf`	The Limitations and Power of NP-Oracle Based Functional Synthesis Techniques. AAAI Brendan Juba, Kuldeep S. Meel
2025	J	`jnl`	A scalable entropy estimator. Formal Methods Syst. Des. Priyanka Golia, Brendan Juba, Kuldeep S. Meel
2025	A*	`conf`	Distribution-Specific Agnostic Conditional Classification With Halfspaces. ICLR Jizhou Huang, Brendan Juba
2025	J	`jnl`	Distribution-Specific Agnostic Conditional Classification With Halfspaces. CoRR Jizhou Huang, Brendan Juba
2025	J	`jnl`	Personalized Prediction By Learning Halfspace Reference Classes Under Well-Behaved Distribution. CoRR Jizhou Huang, Brendan Juba
2025	A*	`conf`	Polynomial-Time Relational Probabilistic Inference in Open Universes. IJCAI Luise Ge, Brendan Juba, Kris Nilsson
2025	J	`jnl`	Polynomial-Time Relational Probabilistic Inference in Open Universes. CoRR Luise Ge, Brendan Juba, Kris Nilsson
2025	J	`jnl`	The Limitations and Power of NP-Oracle-Based Functional Synthesis Techniques. CoRR Brendan Juba, Kuldeep S. Meel
2024	A*	`conf`	An Approximate Skolem Function Counter. AAAI Arijit Shaw, Brendan Juba, Kuldeep S. Meel
2024	—	`conf`	Distribution-Specific Auditing for Subgroup Fairness. FORC Daniel Hsu, Jizhou Huang, Brendan Juba
2024	J	`jnl`	Learning Linear Utility Functions From Pairwise Comparison Queries. CoRR Luise Ge, Brendan Juba, Yevgeniy Vorobeychik
2024	A*	`conf`	Learning Safe Action Models with Partial Observability. AAAI Hai S. Le, Brendan Juba, Roni Stern
2024	J	`jnl`	Polynomial time auditing of statistical subgroup fairness for Gaussian data. CoRR Daniel Hsu, Jizhou Huang, Brendan Juba
2024	J	`jnl`	Safe Learning of PDDL Domains with Conditional Effects - Extended Version. CoRR Argaman Mordoch, Enrico Scala, Roni Stern, Brendan Juba
2024	A*	`conf`	Safe Learning of PDDL Domains with Conditional Effects. ICAPS Argaman Mordoch, Enrico Scala, Roni Stern, Brendan Juba
2024	A*	`conf`	The Impact of Features Used by Algorithms on Perceptions of Fairness. IJCAI Andrew Estornell, Tina Zhang, Sanmay Das, Chien-Ju Ho, Brendan Juba, Yevgeniy Vorobeychik
2023	J	`jnl`	An Approximate Skolem Function Counter. CoRR Arijit Shaw, Brendan Juba, Kuldeep S. Meel
2023	J	`jnl`	Enhancing Numeric-SAM for Learning with Few Observations. CoRR Argaman Mordoch, Shahaf S. Shperberg, Roni Stern, Brendan Juba
2023	A	`conf`	Learnability with PAC Semantics for Multi-agent Beliefs. AAMAS Ionela G. Mocanu, Vaishak Belle, Brendan Juba
2023	J	`jnl`	Learnability with PAC Semantics for Multi-agent Beliefs. CoRR Ionela G. Mocanu, Vaishak Belle, Brendan Juba
2023	J	`jnl`	Learnability with PAC Semantics for Multi-agent Beliefs. Theory Pract. Log. Program. Ionela G. Mocanu, Vaishak Belle, Brendan Juba
2023	A*	`conf`	Learning Safe Numeric Action Models. AAAI Argaman Mordoch, Brendan Juba, Roni Stern
2023	A*	`conf`	Popularizing Fairness: Group Fairness and Individual Welfare. AAAI Andrew Estornell, Sanmay Das, Brendan Juba, Yevgeniy Vorobeychik
2023	J	`jnl`	The (Un)Scalability of Informed Heuristic Function Estimation in NP-Hard Search Problems. Trans. Mach. Learn. Res. Sumedh Pendurkar, Taoan Huang, Brendan Juba, Jiapeng Zhang, Sven Koenig, Guni Sharon
2022	—	`conf`	A Scalable Shannon Entropy Estimator. CAV (1) Priyanka Golia, Brendan Juba, Kuldeep S. Meel
2022	J	`jnl`	A Scalable Shannon Entropy Estimator. CoRR Priyanka Golia, Brendan Juba, Kuldeep S. Meel
2022	J	`jnl`	An Example of the SAM+ Algorithm for Learning Action Models for Stochastic Worlds. CoRR Brendan Juba, Roni Stern
2022	A	`conf`	Conditional Linear Regression for Heterogeneous Covariances. AISTATS Leda Liang, Brendan Juba
2022	A*	`conf`	Hardness of Maximum Likelihood Learning of DPPs. COLT Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie
2022	J	`jnl`	Hardness of Maximum Likelihood Learning of DPPs. CoRR Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie
2022	J	`jnl`	Hardness of Maximum Likelihood Learning of DPPs. Electron. Colloquium Comput. Complex. Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie
2022	A*	`conf`	Learning Probably Approximately Complete and Safe Action Models for Stochastic Worlds. AAAI Brendan Juba, Roni Stern
2022	A	`conf`	Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value Functions. AISTATS Zihao Deng, Siddartha Devic, Brendan Juba
2021	J	`jnl`	Conditional Linear Regression for Heterogeneous Covariances. CoRR Brendan Juba, Leda Liang
2021	A*	`conf`	Learning Implicitly with Noisy Data in Linear Arithmetic. IJCAI Alexander Philipp Rader, Ionela G. Mocanu, Vaishak Belle, Brendan Juba
2021	A	`conf`	List Learning with Attribute Noise. AISTATS Mahdi Cheraghchi, Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie
2021	A*	`conf`	One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks. ICLR Atish Agarwala, Abhimanyu Das, Brendan Juba, Rina Panigrahy, Vatsal Sharan, Xin Wang, Qiuyi Zhang
2021	J	`jnl`	One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks. CoRR Atish Agarwala, Abhimanyu Das, Brendan Juba, Rina Panigrahy, Vatsal Sharan, Xin Wang, Qiuyi Zhang
2021	J	`jnl`	Polynomial Time Reinforcement Learning in Correlated FMDPs with Linear Value Functions. CoRR Siddartha Devic, Zihao Deng, Brendan Juba
2021	A*	`conf`	Probabilistic Generating Circuits. ICML Honghua Zhang, Brendan Juba, Guy Van den Broeck
2021	J	`jnl`	Probabilistic Generating Circuits. CoRR Honghua Zhang, Brendan Juba, Guy Van den Broeck
2021	J	`jnl`	Provable Hierarchical Lifelong Learning with a Sketch-based Modular Architecture. CoRR Zihao Deng, Zee Fryer, Brendan Juba, Rina Panigrahy, Xin Wang
2021	A*	`conf`	Safe Learning of Lifted Action Models. KR Brendan Juba, Hai S. Le, Roni Stern
2021	J	`jnl`	Safe Learning of Lifted Action Models. CoRR Brendan Juba, Hai S. Le, Roni Stern
2021	J	`jnl`	Safe Multi-Agent Pathfinding with Time Uncertainty. J. Artif. Intell. Res. Tomer Shahar, Shashank Shekhar, Dor Atzmon, Abdallah Saffidine, Brendan Juba, Roni Stern
2020	C	`conf`	A Tensor Decomposition Method for Unsupervised Feature Learning on Satellite Imagery. IGARSS Golnoosh Dehghanpoor, Michael D. Frachetti, Brendan Juba
2020	A	`conf`	Conditional Linear Regression. AISTATS Diego Calderon, Brendan Juba, Sirui Li, Zongyi Li, Lisa Ruan
2020	J	`jnl`	Learning Implicitly with Noisy Data in Linear Arithmetic. CoRR Alexander Philipp Rader, Ionela G. Mocanu, Vaishak Belle, Brendan Juba
2020	J	`jnl`	List Learning with Attribute Noise. CoRR Mahdi Cheraghchi, Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie
2020	A*	`conf`	More Accurate Learning of k-DNF Reference Classes. AAAI Brendan Juba, Hengxuan Li
2020	A	`conf`	Polynomial-Time Implicit Learnability in SMT. ECAI Ionela G. Mocanu, Vaishak Belle, Brendan Juba
2019	A	`conf`	Conditional Sparse $L_p$-norm Regression With Optimal Probability. AISTATS John Hainline, Brendan Juba, Hai S. Le, David P. Woodruff
2019	B	`conf`	Hardness of Improper One-Sided Learning of Conjunctions For All Uniformly Falsifiable CSPs. ALT Alexander Durgin, Brendan Juba
2019	J	`jnl`	Implicitly Learning to Reason in First-Order Logic. CoRR Vaishak Belle, Brendan Juba
2019	A*	`conf`	Implicitly learning to reason in first-order logic. NeurIPS Vaishak Belle, Brendan Juba
2019	A*	`conf`	Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics. AAAI Brendan Juba
2019	A*	`conf`	Precision-Recall versus Accuracy and the Role of Large Data Sets. AAAI Brendan Juba, Hai S. Le
2019	J	`jnl`	Query-driven PAC-Learning for Reasoning. CoRR Brendan Juba
2019	A*	`conf`	Safe Partial Diagnosis from Normal Observations. AAAI Roni Stern, Brendan Juba
2019	J	`jnl`	The Price of Uncertain Priors in Source Coding. IEEE Trans. Inf. Theory Mark Braverman, Brendan Juba
2018	J	`jnl`	AC J. Comput. Syst. Sci. Mahdi Cheraghchi, Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie
2018	A	`conf`	Anomaly Explanation Using Metadata. WACV Di Qi, Joshua Arfin, Mengxue Zhang, Tushar Mathew, Robert Pless, Brendan Juba
2018	A*	`conf`	Conditional Linear Regression. AAAI Diego Calderon, Brendan Juba, Zongyi Li, Lisa Ruan
2018	J	`jnl`	Conditional Linear Regression. CoRR Diego Calderon, Brendan Juba, Sirui Li, Zongyi Li, Lisa Ruan
2018	J	`jnl`	Conditional Sparse 𝓁 CoRR John Hainline, Brendan Juba, Hai S. Le, David P. Woodruff
2018	J	`jnl`	Hardness of improper one-sided learning of conjunctions for all uniformly falsifiable CSPs. Electron. Colloquium Comput. Complex. Alexander Durgin, Brendan Juba
2018	A*	`conf`	Learning Abduction Under Partial Observability. AAAI Brendan Juba, Zongyi Li, Evan Miller
2018	A*	`conf`	Learning Abduction Using Partial Observability. AAAI Brendan Juba, Zongyi Li, Evan Miller
2018	J	`jnl`	Polynomial-time probabilistic reasoning with partial observations via implicit learning in probability logics. CoRR Brendan Juba
2018	J	`jnl`	The Price of Uncertain Priors in Source Coding. CoRR Mark Braverman, Brendan Juba
2017	A	`conf`	Conditional Sparse Linear Regression. ITCS Brendan Juba
2017	A*	`conf`	Coordinated Versus Decentralized Exploration In Multi-Agent Multi-Armed Bandits. IJCAI Mithun Chakraborty, Kai Yee Phoebe Chua, Sanmay Das, Brendan Juba
2017	A*	`conf`	Efficient, Safe, and Probably Approximately Complete Learning of Action Models. IJCAI Roni Stern, Brendan Juba
2017	J	`jnl`	Efficient, Safe, and Probably Approximately Complete Learning of Action Models. CoRR Roni Stern, Brendan Juba
2017	—	`conf`	Learning Abduction under Partial Observability. AKBC@NIPS Zongyi Li, Brendan Juba, Evan Miller
2017	J	`jnl`	Learning Abduction under Partial Observability. CoRR Brendan Juba, Zongyi Li, Evan Miller
2016	A*	`conf`	AC^0 o MOD_2 Lower Bounds for the Boolean Inner Product. ICALP Mahdi Cheraghchi, Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie
2016	J	`jnl`	Conditional Sparse Linear Regression. CoRR Brendan Juba
2016	J	`jnl`	Integrated Common Sense Learning and Planning in POMDPs. J. Mach. Learn. Res. Brendan Juba
2016	A*	`conf`	Learning Abductive Reasoning Using Random Examples. AAAI Brendan Juba
2015	J	`jnl`	AC Electron. Colloquium Comput. Complex. Mahdi Cheraghchi, Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie
2015	A*	`conf`	Principled Sampling for Anomaly Detection. NDSS Brendan Juba, Christopher Musco, Fan Long, Stelios Sidiroglou-Douskos, Martin C. Rinard
2015	A	`conf`	Restricted Distribution Automatizability in PAC-Semantics. ITCS Brendan Juba
2015	—	`conf`	The price of uncertainty in communication. Allerton Mark Braverman, Brendan Juba
2013	—	`conf`	Compatibility among diversity Foundations, lessons, and directions of semantic communication. PerCom Workshops Brendan Juba
2013	A*	`conf`	Implicit Learning of Common Sense for Reasoning. IJCAI Brendan Juba
2013	A	`conf`	Massive online teaching to bounded learners. ITCS Brendan Juba, Ryan Williams
2013	J	`jnl`	On Non-automatizability in PAC-Semantics. Electron. Colloquium Comput. Complex. Brendan Juba
2013	J	`jnl`	PAC Quasi-automatizability of Resolution over Restricted Distributions CoRR Brendan Juba
2012	J	`jnl`	A theory of goal-oriented communication. J. ACM Oded Goldreich, Brendan Juba, Madhu Sudan
2012	J	`jnl`	Learning implicitly in reasoning in PAC-Semantics CoRR Brendan Juba
2012	J	`jnl`	Massive Online Teaching to Bounded Learners. Electron. Colloquium Comput. Complex. Brendan Juba, Ryan Williams
2012	J	`jnl`	On learning finite-state quantum sources. Quantum Inf. Comput. Brendan Juba
2011	A*	`conf`	A theory of goal-oriented communication. PODC Oded Goldreich, Brendan Juba, Madhu Sudan
2011	A	`conf`	Compression without a common prior: an information-theoretic justification for ambiguity in language. ICS Brendan Juba, Adam Tauman Kalai, Sanjeev Khanna, Madhu Sudan
2011	A	`conf`	Efficient Semantic Communication via Compatible Beliefs. ICS Brendan Juba, Madhu Sudan
2011	A*	`conf`	Reliable end-user communication under a changing packet network protocol. PODC Brendan Juba
2011	B	`conf`	Semantic Communication for Simple Goals Is Equivalent to On-line Learning. ALT Brendan Juba, Santosh S. Vempala
2011	—	`book`	Universal Semantic Communication. Brendan Juba
2010	J	`jnl`	Efficient Semantic Communication via Compatible Beliefs. Electron. Colloquium Comput. Complex. Brendan Juba, Madhu Sudan
2009	J	`jnl`	A Theory of Goal-Oriented Communication. Electron. Colloquium Comput. Complex. Oded Goldreich, Brendan Juba, Madhu Sudan
2009	J	`jnl`	On Learning Finite-State Quantum Sources CoRR Brendan Juba
2008	J	`jnl`	Universal Semantic Communication II: A Theory of Goal-Oriented Communication. Electron. Colloquium Comput. Complex. Brendan Juba, Madhu Sudan
2008	A*	`conf`	Universal semantic communication I. STOC Brendan Juba, Madhu Sudan
2007	J	`jnl`	Universal Semantic Communication I. Electron. Colloquium Comput. Complex. Brendan Juba, Madhu Sudan
2006	A*	`conf`	Estimating relatedness via data compression. ICML Brendan Juba