Yashas Annadani
8 papers · 2018–2024 · 4 conferences · across top CS/AI conferences
Achievements
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๐ฃ Hot Topic Early Bird ๐ Cross-Pollinator (15) ๐บ๏ธ Taxonomy Completionist (10) ๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer
๐
Conference Polyglot
(4)
๐
Academic Marathon
(6)
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Triple Crown
โ
The Questioner
Conferences
NIPS (4)
ICML (2)
CVPR (1)
ICLR (1)
Top co-authors
Keywords
causal discovery
(2)
causal inference
(2)
deep reinforcement learning
(1)
reinforcement learning
(1)
zero-shot learning
(1)
variational inference
(1)
embedding space
(1)
structure learning
(1)
gradient-based optimization
(1)
causal structure learning
(1)
gradient descent
(1)
posterior inference
(1)
experimental design
(1)
bayesian optimization
(1)
amortized inference
(1)
zero-shot generalization
(1)
active intervention
(1)
transformer network
(1)
structural causal model
(1)
causal model
(1)
Papers
Amortized Active Causal Induction with Deep Reinforcement Learning
NIPS 2024
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery
ICML 2024
Differentiable Multi-Target Causal Bayesian Experimental Design
ICML 2023
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery
NIPS 2023
Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery
NIPS 2023
Structure by Architecture: Structured Representations without Regularization
ICLR 2023
Interventions, Where and How? Experimental Design for Causal Models at Scale
NIPS 2022
Preserving Semantic Relations for Zero-Shot Learning
CVPR 2018