• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 97 matches

• 2024
• 
  Hai S. Le, Brendan Juba, Roni Stern:
  Learning Safe Action Models with Partial Observability. AAAI 2024: 20159-20167
• 
  Arijit Shaw, Brendan Juba, Kuldeep S. Meel:
  An Approximate Skolem Function Counter. AAAI 2024: 8108-8116
• 
  Daniel Hsu, Jizhou Huang, Brendan Juba:
  Polynomial time auditing of statistical subgroup fairness for Gaussian data. CoRR abs/2401.16439 (2024)
• 
  Argaman Mordoch, Enrico Scala, Roni Stern, Brendan Juba:
  Safe Learning of PDDL Domains with Conditional Effects - Extended Version. CoRR abs/2403.15251 (2024)
• 2023
• 
  Ionela Georgiana Mocanu, Vaishak Belle, Brendan Juba:
  Learnability with PAC Semantics for Multi-agent Beliefs. Theory Pract. Log. Program. 23(4): 730-747 (2023)
• 
  Andrew Estornell, Sanmay Das, Brendan Juba, Yevgeniy Vorobeychik:
  Popularizing Fairness: Group Fairness and Individual Welfare. AAAI 2023: 7485-7493
• 
  Argaman Mordoch, Brendan Juba, Roni Stern:
  Learning Safe Numeric Action Models. AAAI 2023: 12079-12086
• 
  Ionela Georgiana Mocanu, Vaishak Belle, Brendan Juba:
  Learnability with PAC Semantics for Multi-agent Beliefs. AAMAS 2023: 2604-2606
• 
  Ionela Georgiana Mocanu, Vaishak Belle, Brendan Juba:
  Learnability with PAC Semantics for Multi-agent Beliefs. CoRR abs/2306.05490 (2023)
• 
  Argaman Mordoch, Shahaf S. Shperberg, Roni Stern, Brendan Juba:
  Enhancing Numeric-SAM for Learning with Few Observations. CoRR abs/2312.10705 (2023)
• 
  Arijit Shaw, Brendan Juba, Kuldeep S. Meel:
  An Approximate Skolem Function Counter. CoRR abs/2312.12026 (2023)
• 2022
• 
  Brendan Juba, Roni Stern:
  Learning Probably Approximately Complete and Safe Action Models for Stochastic Worlds. AAAI 2022: 9795-9804
• 
  Zihao Deng, Siddartha Devic, Brendan Juba:
  Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value Functions. AISTATS 2022: 11280-11304
• 
  Leda Liang, Brendan Juba:
  Conditional Linear Regression for Heterogeneous Covariances. AISTATS 2022: 6182-6199
• 
  Priyanka Golia, Brendan Juba, Kuldeep S. Meel:
  A Scalable Shannon Entropy Estimator. CAV (1) 2022: 363-384
• 
  Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie:
  Hardness of Maximum Likelihood Learning of DPPs. COLT 2022: 3800-3819
• 
  Brendan Juba, Roni Stern:
  An Example of the SAM+ Algorithm for Learning Action Models for Stochastic Worlds. CoRR abs/2203.12499 (2022)
• 
  Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie:
  Hardness of Maximum Likelihood Learning of DPPs. CoRR abs/2205.12377 (2022)
• 
  Priyanka Golia, Brendan Juba, Kuldeep S. Meel:
  A Scalable Shannon Entropy Estimator. CoRR abs/2206.00921 (2022)
• 
  Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie:
  Hardness of Maximum Likelihood Learning of DPPs. Electron. Colloquium Comput. Complex. TR22 (2022)
• 2021
• 
  Tomer Shahar, Shashank Shekhar, Dor Atzmon, Abdallah Saffidine, Brendan Juba, Roni Stern:
  Safe Multi-Agent Pathfinding with Time Uncertainty. J. Artif. Intell. Res. 70: 923-954 (2021)
• 
  Mahdi Cheraghchi, Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie:
  List Learning with Attribute Noise. AISTATS 2021: 2215-2223
• 
  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. ICLR 2021
• 
  Honghua Zhang, Brendan Juba, Guy Van den Broeck:
  Probabilistic Generating Circuits. ICML 2021: 12447-12457
• 
  Alexander Philipp Rader, Ionela Georgiana Mocanu, Vaishak Belle, Brendan Juba:
  Learning Implicitly with Noisy Data in Linear Arithmetic. IJCAI 2021: 1410-1417
• 
  Brendan Juba, Hai S. Le, Roni Stern:
  Safe Learning of Lifted Action Models. KR 2021: 379-389
• 
  Honghua Zhang, Brendan Juba, Guy Van den Broeck:
  Probabilistic Generating Circuits. CoRR abs/2102.09768 (2021)
• 
  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)

skipping 67 more matches