Olexa Bilaniuk

1. A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
   2019/01/30 by Yoshua Bengio, Tristan Deleu, Bengio, Yoshua +13 · 2 voices · 7 citations
   Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #cs.LG #stat.ML
2. Learning Neural Causal Models from Unknown Interventions
   2019/10/02 by Nan Rosemary Ke, Olexa Bilaniuk, Ke, Nan Rosemary +10 · 9 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
3. Learning Neural Causal Models with Active Interventions
   2021/09/06 by Nino Scherrer, Olexa Bilaniuk, Scherrer, Nino +17 · 2 citations
   Computer Science · #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
4. Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding
   2018/09/11 by Nan Rosemary Ke, Anirudh Goyal, Ke, Nan Rosemary +11 · 1 citation
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics