no code implementations • 7 Nov 2023 • Shantanu Gupta, Cheng Zhang, Agrin Hilmkil
In this work, we propose CAusal Method Predictor (CAMP), a framework for predicting the best method for a given dataset.
no code implementations • 25 Oct 2023 • Jacqueline Maasch, Weishen Pan, Shantanu Gupta, Volodymyr Kuleshov, Kyra Gan, Fei Wang
Causal discovery is crucial for causal inference in observational studies: it can enable the identification of valid adjustment sets (VAS) for unbiased effect estimation.
1 code implementation • 16 Feb 2023 • Shantanu Gupta, David Childers, Zachary C. Lipton
Even when the causal graph underlying our data is unknown, we can use observational data to narrow down the possible values that an average treatment effect (ATE) can take by (1) identifying the graph up to a Markov equivalence class; and (2) estimating that ATE for each graph in the class.
no code implementations • 14 Feb 2023 • Tom Yan, Shantanu Gupta, Zachary Lipton
While earlier works cast these manipulations as undesirable gaming, recent works have adopted a more nuanced causal framing in which manipulations can improve outcomes of interest, and setting coherent mechanisms requires accounting for both predictive accuracy and improvement of the outcome.
no code implementations • ICCV 2023 • Shantanu Gupta, Mohit Gupta
Previous work has largely focused on solving the image reconstruction problem first and then using off-the-shelf methods for downstream tasks, but the most general solutions that account for motion are costly and not scalable to large data volumes produced by single-photon sensors.
1 code implementation • NeurIPS 2021 • Shantanu Gupta, Zachary C. Lipton, David Childers
Researchers often face data fusion problems, where multiple data sources are available, each capturing a distinct subset of variables.
1 code implementation • 13 Jun 2021 • Shantanu Gupta, Hao Wang, Zachary C. Lipton, Yuyang Wang
Link prediction methods are frequently applied in recommender systems, e. g., to suggest citations for academic papers or friends in social networks.
no code implementations • CVPR 2021 • Atul Ingle, Trevor Seets, Mauro Buttafava, Shantanu Gupta, Alberto Tosi, Mohit Gupta, Andreas Velten
Digital camera pixels measure image intensities by converting incident light energy into an analog electrical current, and then digitizing it into a fixed-width binary representation.
no code implementations • 21 Jun 2020 • Sizhuo Ma, Shantanu Gupta, Arin C. Ulku, Claudio Bruschini, Edoardo Charbon, Mohit Gupta
These single-photon cameras (SPCs) are capable of capturing high-speed sequences of binary single-photon images with no read noise.
no code implementations • 26 Mar 2020 • Shantanu Gupta, Zachary C. Lipton, David Childers
We show that it strictly outperforms the backdoor and frontdoor estimators and that this improvement can be unbounded.
no code implementations • 1 Dec 2017 • Abhinav Kumar, Shantanu Gupta, Vladimir Kozitsky, Sriganesh Madhvanath
The template database is restricted to contain only a single signature per unique licence plate for our problem.