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meeting_2021spring:tlt [2021/02/23 09:28] – yangmeeting_2021spring:tlt [2021/03/18 22:17] (current) – yang
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 ====== Transfer Learning Theory Reading Group ====== ====== Transfer Learning Theory Reading Group ======
  
 +**Location**: 1102
  
 +**Time**: Saturday 2pm (every other week)
  
-In this reading group, we will read classic domain adaptation theory papers discussed in the following textbook:+In this bi-weekly reading group, we will read classic domain adaptation theory papers discussed in the following textbook:
  
 [[https://www.sciencedirect.com/book/9781785482366/advances-in-domain-adaptation-theory | Advances in Domain Adaptation Theory (ADAT), Redko]]  [[https://www.sciencedirect.com/book/9781785482366/advances-in-domain-adaptation-theory | Advances in Domain Adaptation Theory (ADAT), Redko]] 
  
 +Through the readings, we hope to get a basic understanding of how and why domain adaptation algorithms work fundamentally, and in what conditions they would not work.
 ===== Reading Schedule ===== ===== Reading Schedule =====
 ==== Background ==== ==== Background ====
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 === Week 7: Impossibility theorems === === Week 7: Impossibility theorems ===
   * ADAT Chapter 4.1-4.2   * ADAT Chapter 4.1-4.2
-  * David, Shai Ben, Tyler Lu, Teresa Luu, and Dávid Pál. "Impossibility theorems for domain adaptation." In Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, pp. 129-136. JMLR Workshop and Conference Proceedings, 2010. //(using the HDH-divergence)//+  * David, Shai Ben, Tyler Lu, Teresa Luu, and Dávid Pál. "Impossibility theorems for domain adaptation." In Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, pp. 129-136. JMLR Workshop and Conference Proceedings, 2010. //(using the HΔH-divergence)//
 === Week 9: Hardness results === === Week 9: Hardness results ===
   * ADAT Chapter 4.3-4.4   * ADAT Chapter 4.3-4.4
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   * Redko, Ievgen, Amaury Habrard, and Marc Sebban. "Theoretical analysis of domain adaptation with optimal transport." In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 737-753. Springer, Cham, 2017.    * Redko, Ievgen, Amaury Habrard, and Marc Sebban. "Theoretical analysis of domain adaptation with optimal transport." In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 737-753. Springer, Cham, 2017. 
 ===== Other candidate papers ===== ===== Other candidate papers =====
-  * Baxter, Jonathan. "A model of inductive bias learning." Journal of artificial intelligence research 12 (2000): 149-198. //(Show how multi-task learning, assuming the target task is embedded within an environment of related tasks.) // +  * Baxter, Jonathan. "A model of inductive bias learning." Journal of artificial intelligence research 12 (2000): 149-198. //(Show how multi-task learning can improve generalization, assuming the target task is embedded within an environment of related tasks.) // 
   * ERM-based Multi-source Transfer Learning //(recent work by Xinyi on the sample complexity of multi-source transfer learning)//   * ERM-based Multi-source Transfer Learning //(recent work by Xinyi on the sample complexity of multi-source transfer learning)//
  
  
meeting_2021spring/tlt.1614090486.txt.gz · Last modified: 2021/02/23 09:28 by yang