New!
I gave an invited talk in the WHY-19 Symposium on CausalGAN. Website and
slides are here.

New! I
gave a talk on the Shannon Channel on entropic methods for causal inference,
you can watch it here.

Our paper titled “Experimental Design for Cost-Aware
Learning of Causal Graphs” is accepted at NIPS’18.

Our paper titled “CausalGAN: Learning Causal Implicit
Generative Models with Adversarial Training” is accepted at ICLR’18. A preprint
is available here.

Our paper titled “Experimental Design for Learning Causal
Graphs with Latent Variables” is accepted at NIPS’17. A preprint is available here.

A new preprint titled “CausalGAN: Learning Causal
Implicit Generative Models with Adversarial Training” is available here.
Tensorflow implementation is available here.

Our paper titled “Cost-Optimal Learning of Causal Graphs”
is accepted at ICML’17. A preprint is available here.

Our paper titled “Entropic Causality and Greedy Minimum
Entropy Coupling” is accepted at ISIT 2017. A preprint is available here.

A new preprint titled “Sparse Quadratic Logistic
Regression in Sub-quadratic Time” is available here.

Our
paper titled "Contextual Bandits with Latent Confounders: An NMF
Approach" is accepted at AISTATS 2017. A preprint is available

__here__.
Python code is available for the entropy-based
causal inference algorithm of "Entropic Causal Inference" paper

__here__.Our paper titled "Entropic Causal Inference" is accepted at AAAI 2017. A preprint is available

__here__.

Our paper titled "Learning Causal Graphs with Constraints" is accepted for a poster presentation in the NIPS 2016 workshop

__What if? Inference and Learning of Hypothetical and Counterfactual Interventions in Complex Systems__.

Our paper titled

__"Sparse Polynomial Learning and Graph Sketching"__is accepted for oral presentation at

__NIPS 2014__.