• 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 298 matches

• 2023
• 
  Ang Li, Scott Mueller, Judea Pearl:
  Epsilon-Identifiability of Causal Quantities. CoRR abs/2301.12022 (2023)
• 2022
• 
  Ang Li, Judea Pearl:
  Unit Selection with Causal Diagram. AAAI 2022: 5765-5772
• 
  Ang Li, Judea Pearl:
  Bounds on Causal Effects and Application to High Dimensional Data. AAAI 2022: 5773-5780
• 
  Scott Mueller, Ang Li, Judea Pearl:
  Causes of Effects: Learning Individual Responses from Population Data. IJCAI 2022: 2712-2718
• 
  Chi Zhang, Karthika Mohan, Judea Pearl:
  Causal Inference with Non-IID Data using Linear Graphical Models. NeurIPS 2022
• 
  Scott Mueller, Judea Pearl:
  Personalized Decision Making - A Conceptual Introduction. CoRR abs/2208.09558 (2022)
• 
  Ang Li, Judea Pearl:
  Probabilities of Causation with Nonbinary Treatment and Effect. CoRR abs/2208.09568 (2022)
• 
  Ang Li, Judea Pearl:
  Unit Selection with Nonbinary Treatment and Effect. CoRR abs/2208.09569 (2022)
• 
  Ang Li, Ruirui Mao, Judea Pearl:
  Probabilities of Causation: Adequate Size of Experimental and Observational Samples. CoRR abs/2210.05027 (2022)
• 
  Ang Li, Judea Pearl:
  Unit Selection: Case Study and Comparison with A/B Test Heuristic. CoRR abs/2210.05030 (2022)
• 
  Ang Li, Song Jiang, Yizhou Sun, Judea Pearl:
  Unit Selection: Learning Benefit Function from Finite Population Data. CoRR abs/2210.08203 (2022)
• 
  Ang Li, Song Jiang, Yizhou Sun, Judea Pearl:
  Learning Probabilities of Causation from Finite Population Data. CoRR abs/2210.08453 (2022)
• 
  Ang Li, Judea Pearl:
  Probabilities of Causation: Role of Observational Data. CoRR abs/2210.08874 (2022)
• 2021
• 
  Chi Zhang, Carlos Cinelli, Bryant Chen, Judea Pearl:
  Exploiting Equality Constraints in Causal Inference. AISTATS 2021: 1630-1638
• 
  Scott Mueller, Ang Li, Judea Pearl:
  Causes of Effects: Learning individual responses from population data. CoRR abs/2104.13730 (2021)
• 
  Ang Li, Judea Pearl:
  Bounds on Causal Effects and Application to High Dimensional Data. CoRR abs/2106.12121 (2021)
• 
  Ang Li, Judea Pearl:
  Unit Selection with Causal Diagram. CoRR abs/2109.07556 (2021)
• 2020
• 
  Norman E. Fenton, Martin Neil, Anthony C. Constantinou:
  The Book of Why: The New Science of Cause and Effect, Judea Pearl, Dana Mackenzie. Basic Books (2018). Artif. Intell. 284: 103286 (2020)
• 
  Karamjit S. Gill:
  Pearl, Judea and Mackenzie, Dana: The book of why: the new science of cause and effect (2018). AI Soc. 35(3): 767-768 (2020)
• 
  Chi Zhang, Bryant Chen, Judea Pearl:
  A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models. AAAI 2020: 10318-10325
• 2019
• 
  Joseph Y. Halpern:
  The Book of Why, Judea Pearl. Basic Books (2018). Artif. Intell. 277 (2019)
• 
  Judea Pearl:
  The seven tools of causal inference, with reflections on machine learning. Commun. ACM 62(3): 54-60 (2019)
• 
  Judea Pearl:
  What is Causal Inference? AAAI Spring Symposium: Interpretable AI for Well-being 2019
• 
  Judea Pearl:
  The new science of cause and effect, with reflections on data science and artificial intelligence. IEEE BigData 2019: 4
• 
  Carlos Cinelli, Daniel Kumor, Bryant Chen, Judea Pearl, Elias Bareinboim:
  Sensitivity Analysis of Linear Structural Causal Models. ICML 2019: 1252-1261
• 
  Ang Li, Judea Pearl:
  Unit Selection Based on Counterfactual Logic. IJCAI 2019: 1793-1799
• 2018
• 
  Karthika Mohan, Felix Thoemmes, Judea Pearl:
  Estimation with Incomplete Data: The Linear Case. IJCAI 2018: 5082-5088
• 
  Karthika Mohan, Judea Pearl:
  Consistent Estimation given Missing Data. PGM 2018: 284-295
• 
  Judea Pearl:
  Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution. WSDM 2018: 3
• 
  Judea Pearl:
  Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution. CoRR abs/1801.04016 (2018)

skipping 268 more matches