Sridhar, Dhanya

21 publications

NeurIPS 2025 Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation Learning Navita Goyal, Hal Daumé Iii, Alexandre Drouin, Dhanya Sridhar

TMLR 2025 Demystifying Amortized Causal Discovery with Transformers Francesco Montagna, Max Cairney-Leeming, Dhanya Sridhar, Francesco Locatello

ICML 2025 Does Learning the Right Latent Variables Necessarily Improve In-Context Learning? Sarthak Mittal, Eric Elmoznino, Leo Gagnon, Sangnie Bhardwaj, Guillaume Lajoie, Dhanya Sridhar

ICML 2025 In-Context Learning and Occam’s Razor Eric Elmoznino, Tom Marty, Tejas Kasetty, Leo Gagnon, Sarthak Mittal, Mahan Fathi, Dhanya Sridhar, Guillaume Lajoie

TMLR 2025 Sparsity Regularization via Tree-Structured Environments for Disentangled Representations Elliot Layne, Jason Hartford, Sebastien Lachapelle, Mathieu Blanchette, Dhanya Sridhar

CLeaR 2025 The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications Philippe Brouillard, Chandler Squires, Jonas Wahl, Konrad K"ording, Karen Sachs, Alexandre Drouin, Dhanya Sridhar

ICLRW 2025 The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications Philippe Brouillard, Chandler Squires, Jonas Wahl, Konrad Kording, Karen Sachs, Alexandre Drouin, Dhanya Sridhar

ICMLW 2024 Demystifying Amortized Causal Discovery with Transformers Francesco Montagna, Max Cairney-Leeming, Dhanya Sridhar, Francesco Locatello

NeurIPSW 2024 Evaluating Interventional Reasoning Capabilities of Large Language Models Tejas Kasetty, Divyat Mahajan, Gintare Karolina Dziugaite, Alexandre Drouin, Dhanya Sridhar

ICLRW 2024 Explicit Knowledge Factorization Meets In-Context Learning: What Do We Gain? Sarthak Mittal, Eric Elmoznino, Leo Gagnon, Sangnie Bhardwaj, Dhanya Sridhar, Guillaume Lajoie

NeurIPSW 2024 General Causal Imputation via Synthetic Interventions Marco Jiralerspong, Thomas Jiralerspong, Vedant Shah, Dhanya Sridhar, Gauthier Gidel

ICMLW 2024 In-Context Learning, Can It Break Safety? Sophie Xhonneux, David Dobre, Michael Noukhovitch, Jian Tang, Gauthier Gidel, Dhanya Sridhar

TMLR 2023 Adjusting Machine Learning Decisions for Equal Opportunity and Counterfactual Fairness Yixin Wang, Dhanya Sridhar, David Blei

NeurIPSW 2023 Learning Macro Variables with Auto-Encoders Dhanya Sridhar, Eric Elmoznino, Maitreyi Swaroop

AISTATS 2022 On the Assumptions of Synthetic Control Methods Claudia Shi, Dhanya Sridhar, Vishal Misra, David Blei

CLeaR 2022 Estimating Social Influence from Observational Data Dhanya Sridhar, Caterina De Bacco, David Blei

TMLR 2022 Identifiable Deep Generative Models via Sparse Decoding Gemma Elyse Moran, Dhanya Sridhar, Yixin Wang, David Blei

ICML 2021 Valid Causal Inference with (Some) Invalid Instruments Jason S Hartford, Victor Veitch, Dhanya Sridhar, Kevin Leyton-Brown

UAI 2020 Adapting Text Embeddings for Causal Inference Victor Veitch, Dhanya Sridhar, David Blei

IJCAI 2019 Estimating Causal Effects of Tone in Online Debates Dhanya Sridhar, Lise Getoor

IJCAI 2018 Scalable Probabilistic Causal Structure Discovery Dhanya Sridhar, Jay Pujara, Lise Getoor