Panagiotis Tigas
6 papers · 2021–2024 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot Β· Bronze
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Interdisciplinary Bridge Β· Silver
πΊοΈ
Taxonomy Completionist
(11)
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Hot Topic Early Bird
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The Questioner
Venues
Top co-authors
Research topics
Keywords
causal graph
(2)
bayesian active learning
(2)
causal inference
(2)
reinforcement learning
(1)
structure learning
(1)
causal discovery
(1)
gradient-based optimization
(1)
epistemic uncertainty
(1)
causal structure learning
(1)
posterior distribution
(1)
experimental design
(1)
bayesian optimization
(1)
identifiability
(1)
amortized inference
(1)
preference modeling
(1)
zero-shot generalization
(1)
active intervention
(1)
transformer network
(1)
structural causal model
(1)
evaluation metric
(1)
Papers
Amortized Active Causal Induction with Deep Reinforcement Learning
NeurIPS 2024
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery
ICML 2024
Deep Bayesian Active Learning for Preference Modeling in Large Language Models
NeurIPS 2024
Differentiable Multi-Target Causal Bayesian Experimental Design
ICML 2023
Interventions, Where and How? Experimental Design for Causal Models at Scale
NeurIPS 2022
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data
NeurIPS 2021