Yashas Annadani
8 papers · 2018–2024 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (14) 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver
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Triple Crown
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The Questioner
Venues
Top co-authors
Research topics
Keywords
causal discovery
(2)
bayesian causal discovery
(2)
causal graph
(2)
causal inference
(2)
zero-shot learning
(1)
variational inference
(1)
deep reinforcement learning
(1)
amortized inference
(1)
reinforcement learning
(1)
gradient-based optimization
(1)
self-supervised learning
(1)
causal structure learning
(1)
posterior distribution
(1)
gradient descent
(1)
bayesian optimization
(1)
structure learning
(1)
experimental design
(1)
identifiability
(1)
posterior inference
(1)
embedding space
(1)
Papers
Amortized Active Causal Induction with Deep Reinforcement Learning
NeurIPS 2024
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery
ICML 2024
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery
NeurIPS 2023
Differentiable Multi-Target Causal Bayesian Experimental Design
ICML 2023
Structure by Architecture: Structured Representations without Regularization
ICLR 2023
Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery
NeurIPS 2023
Interventions, Where and How? Experimental Design for Causal Models at Scale
NeurIPS 2022
Preserving Semantic Relations for Zero-Shot Learning
CVPR 2018