- Atish Agarwala, Abhimanyu Das, Brendan Juba, Rina Panigrahy, Vatsal Sharan, Xin Wang, Qiuyi Zhang:
One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks. CoRR abs/2103.15261 (2021) - Brendan Juba, Hai S. Le, Roni Stern:
Safe Learning of Lifted Action Models. CoRR abs/2107.04169 (2021) - Siddartha Devic, Zihao Deng, Brendan Juba:
Polynomial Time Reinforcement Learning in Correlated FMDPs with Linear Value Functions. CoRR abs/2107.05187 (2021) - Brendan Juba, Leda Liang:
Conditional Linear Regression for Heterogeneous Covariances. CoRR abs/2111.07834 (2021) - Zihao Deng, Zee Fryer, Brendan Juba, Rina Panigrahy, Xin Wang:
Provable Hierarchical Lifelong Learning with a Sketch-based Modular Architecture. CoRR abs/2112.10919 (2021) - 2020
- Brendan Juba, Hengxuan Li:
More Accurate Learning of k-DNF Reference Classes. AAAI 2020: 4385-4393 - Diego Calderon, Brendan Juba, Sirui Li, Zongyi Li, Lisa Ruan:
Conditional Linear Regression. AISTATS 2020: 2164-2173 - Ionela Georgiana Mocanu, Vaishak Belle, Brendan Juba:
Polynomial-Time Implicit Learnability in SMT. ECAI 2020: 1152-1158 - Mahdi Cheraghchi, Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie:
List Learning with Attribute Noise. CoRR abs/2006.06850 (2020) - Alexander Philipp Rader, Ionela Georgiana Mocanu, Vaishak Belle, Brendan Juba:
Learning Implicitly with Noisy Data in Linear Arithmetic. CoRR abs/2010.12619 (2020) - 2019
- Mark Braverman, Brendan Juba:
The Price of Uncertain Priors in Source Coding. IEEE Trans. Inf. Theory 65(2): 1165-1171 (2019) - Brendan Juba:
Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics. AAAI 2019: 7866-7875 - Brendan Juba, Hai S. Le:
Precision-Recall versus Accuracy and the Role of Large Data Sets. AAAI 2019: 4039-4048 - Roni Stern, Brendan Juba:
Safe Partial Diagnosis from Normal Observations. AAAI 2019: 3084-3091 - John Hainline, Brendan Juba, Hai S. Le, David P. Woodruff:
Conditional Sparse $L_p$-norm Regression With Optimal Probability. AISTATS 2019: 1042-1050 - Alexander Durgin, Brendan Juba:
Hardness of Improper One-Sided Learning of Conjunctions For All Uniformly Falsifiable CSPs. ALT 2019: 369-382 - Vaishak Belle, Brendan Juba:
Implicitly learning to reason in first-order logic. NeurIPS 2019: 3376-3386 - Vaishak Belle, Brendan Juba:
Implicitly Learning to Reason in First-Order Logic. CoRR abs/1906.10106 (2019) - Brendan Juba:
Query-driven PAC-Learning for Reasoning. CoRR abs/1906.10118 (2019) - 2018
- Mahdi Cheraghchi, Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie:
AC0∘MOD2 lower bounds for the Boolean Inner Product. J. Comput. Syst. Sci. 97: 45-59 (2018) - Diego Calderon, Brendan Juba, Zongyi Li, Lisa Ruan:
Conditional Linear Regression. AAAI 2018: 8055-8056 - Brendan Juba, Zongyi Li, Evan Miller:
Learning Abduction Using Partial Observability. AAAI 2018: 1888-1896 - Brendan Juba, Zongyi Li, Evan Miller:
Learning Abduction Under Partial Observability. AAAI 2018: 8097-8098 - Yiling Chen, Nicole Immorlica, Brendan Lucier, Vasilis Syrgkanis, Juba Ziani:
Optimal Data Acquisition for Statistical Estimation. EC 2018: 27-44 - Di Qi, Joshua Arfin, Mengxue Zhang, Tushar Mathew, Robert Pless, Brendan Juba:
Anomaly Explanation Using Metadata. WACV 2018: 1916-1924 - Diego Calderon, Brendan Juba, Sirui Li, Zongyi Li, Lisa Ruan:
Conditional Linear Regression. CoRR abs/1806.02326 (2018) - John Hainline, Brendan Juba, Hai S. Le, David P. Woodruff:
Conditional Sparse 𝓁p-norm Regression With Optimal Probability. CoRR abs/1806.10222 (2018) - Brendan Juba:
Polynomial-time probabilistic reasoning with partial observations via implicit learning in probability logics. CoRR abs/1806.11204 (2018) - Mark Braverman, Brendan Juba:
The Price of Uncertain Priors in Source Coding. CoRR abs/1811.08976 (2018)