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02/20/2023
Anytime-Valid Confidence Sequences in an Enterprise A/B Testing Platform
A/B tests are the gold standard for evaluating digital experiences on th...
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10/12/2022
Sample Constrained Treatment Effect Estimation
Treatment effect estimation is a fundamental problem in causal inference...
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07/06/2022
Non-Adaptive Edge Counting and Sampling via Bipartite Independent Set Queries
We study the problem of estimating the number of edges in an n-vertex gr...
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01/18/2022
Improved Approximation and Scalability for Fair Max-Min Diversification
Given an n-point metric space (𝒳,d) where each point belongs to one of m...
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06/06/2021
Collaborative Causal Discovery with Atomic Interventions
We introduce a new Collaborative Causal Discovery problem, through which...
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05/12/2021
How to Design Robust Algorithms using Noisy Comparison Oracle
Metric based comparison operations such as finding maximum, nearest and ...
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12/27/2020
Intervention Efficient Algorithms for Approximate Learning of Causal Graphs
We study the problem of learning the causal relationships between a set ...
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05/24/2020
Efficient Intervention Design for Causal Discovery with Latents
We consider recovering a causal graph in presence of latent variables, w...
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07/19/2019
Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics
Representation learning methods that transform encoded data (e.g., diagn...
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04/09/2018
