Tigas, Panagiotis

1. Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
   2020/06/26 by Angelos Filos, Filos, Angelos, Rowan McAllister +8 · 16 citations
   Engineering · #Mining Techniques and Economics #Transportation and Mobility Innovations #Advanced Manufacturing and Logistics Optimization
2. Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data
   2021/11/03 by Andrew Jesson, Jesson, Andrew, Panagiotis Tigas +9 · 3 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Statistical Methods and Inference
3. Deep Bayesian Active Learning for Preference Modeling in Large Language Models
   2024/06/14 by Luckeciano C. Melo, Panagiotis Tigas, Melo, Luckeciano C. +5 · 4 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Natural Language Processing Techniques #Topic Modeling
4. Interventions, Where and How? Experimental Design for Causal Models at Scale
   2022/03/03 by Tigas, Panagiotis, Annadani, Yashas, Jesson, Andrew +3 · 2 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Differentiable Multi-Target Causal Bayesian Experimental Design
   2023/02/21 by Annadani, Yashas, Tigas, Panagiotis, Ivanova, Desi R. +4 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
6. Amortized Active Causal Induction with Deep Reinforcement Learning
   2024/05/26 by Annadani, Yashas, Tigas, Panagiotis, Bauer, Stefan +1 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)