337 citations · 699 across the 35 of their papers we have counts for
9 papers · 1 filter
Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts
Prathamesh Deshpande, Sunita Sarawagi
Long range forecasts are the starting point of many decision support systems that need to draw inference from high-level aggregate patterns on forecasted values. State of the art t…
Focus on the Common Good: Group Distributional Robustness Follows
Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi
We consider the problem of training a classification model with group annotated training data. Recent work has established that, if there is distribution shift across different gro…
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time
Anshul Nasery, Soumyadeep Thakur, Vihari Piratla +2
In several real world applications, machine learning models are deployed to make predictions on data whose distribution changes gradually along time, leading to a drift between the…
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations
Vihari Piratla, Soumen Chakrabarty, Sunita Sarawagi
Our goal is to evaluate the accuracy of a black-box classification model, not as a single aggregate on a given test data distribution, but as a surface over a large number of combi…
Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study
Yash Khemchandani, Sarvesh Mehtani, Vaidehi Patil +3
Recent research in multilingual language models (LM) has demonstrated their ability to effectively handle multiple languages in a single model. This holds promise for low web-resou…
Deep Indexed Active Learning for Matching Heterogeneous Entity Representations
Arjit Jain, Sunita Sarawagi, Prithviraj Sen
Given two large lists of records, the task in entity resolution (ER) is to find the pairs from the Cartesian product of the lists that correspond to the same real world entity. Typ…
Error-driven Fixed-Budget ASR Personalization for Accented Speakers
Abhijeet Awasthi, Aman Kansal, Sunita Sarawagi +1
We consider the task of personalizing ASR models while being constrained by a fixed budget on recording speaker-specific utterances. Given a speaker and an ASR model, we propose a…
Missing Value Imputation on Multidimensional Time Series
Parikshit Bansal, Prathamesh Deshpande, Sunita Sarawagi
We present DeepMVI, a deep learning method for missing value imputation in multidimensional time-series datasets. Missing values are commonplace in decision support platforms that…
Long Horizon Forecasting With Temporal Point Processes
Prathamesh Deshpande, Kamlesh Marathe, Abir De +1
In recent years, marked temporal point processes (MTPPs) have emerged as a powerful modeling machinery to characterize asynchronous events in a wide variety of applications. MTPPs…