• 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 26 matches

• 2024
• 
  Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto:
  Identifying the Risks of LM Agents with an LM-Emulated Sandbox. ICLR 2024
• 
  Silviu Pitis, Ziang Xiao, Nicolas Le Roux, Alessandro Sordoni:
  Improving Context-Aware Preference Modeling for Language Models. CoRR abs/2407.14916 (2024)
• 
  Blair Yang, Fuyang Cui, Keiran Paster, Jimmy Ba, Pashootan Vaezipoor, Silviu Pitis, Michael R. Zhang:
  Report Cards: Qualitative Evaluation of Language Models Using Natural Language Summaries. CoRR abs/2409.00844 (2024)
• 2023
• 
  Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba:
  Large Language Models are Human-Level Prompt Engineers. ICLR 2023
• 
  Silviu Pitis:
  Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards. NeurIPS 2023
• 
  Silviu Pitis, Michael R. Zhang, Andrew Wang, Jimmy Ba:
  Boosted Prompt Ensembles for Large Language Models. CoRR abs/2304.05970 (2023)
• 
  Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto:
  Identifying the Risks of LM Agents with an LM-Emulated Sandbox. CoRR abs/2309.15817 (2023)
• 
  Silviu Pitis:
  Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards. CoRR abs/2310.00435 (2023)
• 2022
• 
  Silviu Pitis, Elliot Creager, Ajay Mandlekar, Animesh Garg:
  MoCoDA: Model-based Counterfactual Data Augmentation. NeurIPS 2022
• 
  Silviu Pitis, Elliot Creager, Ajay Mandlekar, Animesh Garg:
  MoCoDA: Model-based Counterfactual Data Augmentation. CoRR abs/2210.11287 (2022)
• 
  Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba:
  Large Language Models Are Human-Level Prompt Engineers. CoRR abs/2211.01910 (2022)
• 2020
• 
  Kristopher De Asis, Alan Chan, Silviu Pitis, Richard S. Sutton, Daniel Graves:
  Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning. AAAI 2020: 3741-3748
• 
  Silviu Pitis, Michael R. Zhang:
  Objective Social Choice: Using Auxiliary Information to Improve Voting Outcomes. AAMAS 2020: 1064-1071
• 
  Silviu Pitis, Harris Chan, Kiarash Jamali, Jimmy Ba:
  An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality. ICLR 2020
• 
  Silviu Pitis, Harris Chan, Stephen Zhao, Bradly C. Stadie, Jimmy Ba:
  Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning. ICML 2020: 7750-7761
• 
  Silviu Pitis, Elliot Creager, Animesh Garg:
  Counterfactual Data Augmentation using Locally Factored Dynamics. NeurIPS 2020
• 
  Silviu Pitis, Michael R. Zhang:
  Objective Social Choice: Using Auxiliary Information to Improve Voting Outcomes. CoRR abs/2001.10092 (2020)
• 
  Silviu Pitis, Harris Chan, Kiarash Jamali, Jimmy Ba:
  An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality. CoRR abs/2002.05825 (2020)
• 
  Silviu Pitis, Harris Chan, Stephen Zhao, Bradly C. Stadie, Jimmy Ba:
  Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning. CoRR abs/2007.02832 (2020)
• 
  Silviu Pitis, Elliot Creager, Animesh Garg:
  Counterfactual Data Augmentation using Locally Factored Dynamics. CoRR abs/2007.02863 (2020)
• 2019
• 
  Silviu Pitis:
  Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach. AAAI 2019: 7949-7956
• 
  Silviu Pitis:
  Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach. CoRR abs/1902.02893 (2019)
• 
  Silviu Pitis:
  Source Traces for Temporal Difference Learning. CoRR abs/1902.02907 (2019)
• 
  Kristopher De Asis, Alan Chan, Silviu Pitis, Richard S. Sutton, Daniel Graves:
  Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning. CoRR abs/1909.03906 (2019)
• 2018
• 
  Silviu Pitis:
  Source Traces for Temporal Difference Learning. AAAI 2018: 3952-3959
• 2017
• 
  Silviu Pitis:
  Methods for retrieving alternative contract language using a prototype. ICAIL 2017: 179-187