2 citations · 7 across the 10 of their papers we have counts for
10 papers
Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRA
Mind Lab, :, Vin Bo +80
Macaron-V1 is an open agent-model family for experiential intelligence: learning from experience in real environments and continuing to learn after deployment. It is organized arou…
Zero Inflation as a Missing Data Problem: a Proxy-based Approach
Trung Phung, Jaron J. R. Lee, Opeyemi Oladapo-Shittu +8
A common type of zero-inflated data has certain true values incorrectly replaced by zeros due to data recording conventions (rare outcomes assumed to be absent) or details of data…
A General Identification Algorithm For Data Fusion Problems Under Systematic Selection
Jaron J. R. Lee, AmirEmad Ghassami, Ilya Shpitser
Causal inference is made challenging by confounding, selection bias, and other complications. A common approach to addressing these difficulties is the inclusion of auxiliary data…
An Introduction to Causal Inference Methods for Observational Human-Robot Interaction Research
Jaron J. R. Lee, Gopika Ajaykumar, Ilya Shpitser +1
Quantitative methods in Human-Robot Interaction (HRI) research have primarily relied upon randomized, controlled experiments in laboratory settings. However, such experiments are n…
Ananke: A Python Package For Causal Inference Using Graphical Models
Jaron J. R. Lee, Rohit Bhattacharya, Razieh Nabi +1
We implement Ananke: an object-oriented Python package for causal inference with graphical models. At the top of our inheritance structure is an easily extensible Graph class that…
Off-Policy Evaluation in Embedded Spaces
Jaron J. R. Lee, David Arbour, Georgios Theocharous
Off-policy evaluation methods are important in recommendation systems and search engines, where data collected under an existing logging policy is used to estimate the performance…
Markov-Restricted Analysis of Randomized Trials with Non-Monotone Missing Binary Outcomes
Jaron J. R. Lee, Agatha S. Mallett, Ilya Shpitser +3
Scharfstein et al. (2021) developed a sensitivity analysis model for analyzing randomized trials with repeatedly measured binary outcomes that are subject to nonmonotone missingnes…
Path Dependent Structural Equation Models
Ranjani Srinivasan, Jaron Lee, Rohit Bhattacharya +2
Causal analyses of longitudinal data generally assume that the qualitative causal structure relating variables remains invariant over time. In structured systems that transition be…
A Semiparametric Approach to Interpretable Machine Learning
Numair Sani, Jaron Lee, Razieh Nabi +1
Black box models in machine learning have demonstrated excellent predictive performance in complex problems and high-dimensional settings. However, their lack of transparency and i…
Identification Methods With Arbitrary Interventional Distributions as Inputs
Jaron J. R. Lee, Ilya Shpitser
Causal inference quantifies cause-effect relationships by estimating counterfactual parameters from data. This entails using \emph{identification theory} to establish a link betwee…