Sainyam Galhotra | DeepAI

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∙ 04/18/2023

METAM: Goal-Oriented Data Discovery

Data is a central component of machine learning and causal inference tas...

7 Sainyam Galhotra, et al. ∙

∙ 03/02/2023

A Vision for Semantically Enriched Data Science

The recent efforts in automation of machine learning or data science has...

10 Udayan Khurana, et al. ∙

∙ 12/21/2022

Consistent Range Approximation for Fair Predictive Modeling

This paper proposes a novel framework for certifying the fairness of pre...

6 Jiongli Zhu, et al. ∙

∙ 06/22/2022

Community Recovery in the Geometric Block Model

To capture inherent geometric features of many community detection probl...

1 Sainyam Galhotra, et al. ∙

∙ 03/28/2022

HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach

What-if (provisioning for an update to a database) and how-to (how to mo...

0 Sainyam Galhotra, et al. ∙

∙ 06/03/2021

Niffler: A Reference Architecture and System Implementation for View Discovery over Pathless Table Collections by Example

Identifying a project-join view (PJ-view) over collections of tables is ...

0 Yue Gong, et al. ∙

∙ 05/13/2021

DataExposer: Exposing Disconnect between Data and Systems

As data is a central component of many modern systems, the cause of a sy...

0 Sainyam Galhotra, et al. ∙

∙ 05/12/2021

How to Design Robust Algorithms using Noisy Comparison Oracle

Metric based comparison operations such as finding maximum, nearest and ...

4 Raghavendra Addanki, et al. ∙

∙ 03/22/2021

Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals

There has been a recent resurgence of interest in explainable artificial...

14 Sainyam Galhotra, et al. ∙

∙ 02/08/2021

Learning to Generate Fair Clusters from Demonstrations

Fair clustering is the process of grouping similar entities together, wh...

3 Sainyam Galhotra, et al. ∙

∙ 12/15/2020

Semantic Annotation for Tabular Data

Detecting semantic concept of columns in tabular data is of particular i...

7 Udayan Khurana, et al. ∙

∙ 06/10/2020

Fair Data Integration

The use of machine learning (ML) in high-stakes societal decisions has e...

39 Sainyam Galhotra, et al. ∙

∙ 05/28/2020

Efficient and Effective ER with Progressive Blocking

Blocking is a mechanism to improve the efficiency of Entity Resolution (...

0 Sainyam Galhotra, et al. ∙

∙ 05/13/2020

Adaptive Rule Discovery for Labeling Text Data

Creating and collecting labeled data is one of the major bottlenecks in ...

0 Sainyam Galhotra, et al. ∙

∙ 12/17/2019

Balancing the Tradeoff Between Clustering Value and Interpretability

Graph clustering groups entities – the vertices of a graph – based on th...

16 Sandhya Saisubramanian, et al. ∙

∙ 06/28/2019

Min-Max Correlation Clustering via MultiCut

Correlation clustering is a fundamental combinatorial optimization probl...

0 Saba Ahmadi, et al. ∙

∙ 03/02/2019

Lexicographically Ordered Multi-Objective Clustering

We introduce a rich model for multi-objective clustering with lexicograp...

12 Sainyam Galhotra, et al. ∙

∙ 04/12/2018

Connectivity in Random Annulus Graphs and the Geometric Block Model

Random geometric graphs are the simplest, and perhaps the earliest possi...

0 Sainyam Galhotra, et al. ∙

∙ 09/16/2017

The Geometric Block Model

To capture the inherent geometric features of many community detection p...

0 Sainyam Galhotra, et al. ∙

∙ 09/11/2017

Fairness Testing: Testing Software for Discrimination

This paper defines software fairness and discrimination and develops a t...

0 Sainyam Galhotra, et al. ∙

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