Search Results for author:
Found 11 papers, 4 papers with code
Benchmarking Observational Studies with Experimental Data under Right-Censoring
Drawing causal inferences from observational studies (OS) requires unverifiable validity assumptions; however, one can falsify those assumptions by benchmarking the OS with experimental data from a randomized controlled trial (RCT).
Conformalized Unconditional Quantile Regression
We develop a predictive inference procedure that combines conformal prediction (CP) with unconditional quantile regression (QR) -- a commonly used tool in econometrics that involves regressing the recentered influence function (RIF) of the quantile functional over input covariates.
Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions
Our approach is interpretable, allowing a practitioner to visualize which subgroups in the population lead to falsification of an observational study.
Falsification before Extrapolation in Causal Effect Estimation
Under the assumption that at least one observational estimator is asymptotically normal and consistent for both the validation and extrapolated effects, we provide guarantees on the coverage probability of the intervals output by our algorithm.
Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models
Our question is when using this privileged data leads to more sample-efficient learning of models that use only baseline data for predictions at test time.
Neural Pharmacodynamic State Space Modeling
Modeling the time-series of high-dimensional, longitudinal data is important for predicting patient disease progression.
Learning to Compose Domain-Specific Transformations for Data Augmentation
Data augmentation is a ubiquitous technique for increasing the size of labeled training sets by leveraging task-specific data transformations that preserve class labels.
Bidirectional American Sign Language to English Translation
We outline a bidirectional translation system that converts sentences from American Sign Language (ASL) to English, and vice versa.
DeepFace: Face Generation using Deep Learning
We use CNNs to build a system that both classifies images of faces based on a variety of different facial attributes and generates new faces given a set of desired facial characteristics.
Group Visual Sentiment Analysis
In this paper, we introduce a framework for classifying images according to high-level sentiment.
Sign Language Recognition Using Temporal Classification
Devices like the Myo armband available in the market today enable us to collect data about the position of a user's hands and fingers over time.
