Dhanya Sridhar
15 papers · 2015–2026 · 7 venues · across top CS/AI venues
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causal inference
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in-context learning
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observational data
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Papers
Causal Discovery with Metadata-Informed Latent Types
UAI 2026
From Isolation to Entanglement: When Do Interpretability Methods Identify and Disentangle Known Concepts?
ACL 2026
Learning a Spatial Partitioning and its Causal Relations from Temporal Data
CLeaR 2026
Who Guards the Guardians? The Challenges of Evaluating Identifiability of Learned Representations
UAI 2026
Does learning the right latent variables necessarily improve in-context learning?
ICML 2025
In-Context Learning and Occamβs Razor
ICML 2025
The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications
CLeaR 2025
Estimating Social Influence from Observational Data
CLeaR 2022
On the Assumptions of Synthetic Control Methods
AISTATS 2022
Causal Effects of Linguistic Properties
NAACL 2021
Valid Causal Inference with (Some) Invalid Instruments
ICML 2021
Adapting Text Embeddings for Causal Inference
UAI 2020
Estimating Causal Effects of Tone in Online Debates
IJCAI 2019
Scalable Probabilistic Causal Structure Discovery
IJCAI 2018
Joint Models of Disagreement and Stance in Online Debate
ACL 2015