Search Results for author: Sruthi Gorantla

Found 5 papers, 2 papers with code

Sampling Random Group Fair Rankings

no code implementations2 Mar 2022 Sruthi Gorantla, Amit Deshpande, Anand Louis

We experimentally validate the above guarantees of our algorithms for group fairness in top ranks and representation in every rank on real-world data sets.


On the Problem of Underranking in Group-Fair Ranking

2 code implementations24 Sep 2020 Sruthi Gorantla, Amit Deshpande, Anand Louis

We give a fair ranking algorithm that takes any given ranking and outputs another ranking with simultaneous underranking and group fairness guarantees comparable to the lower bound we prove.

Fairness Learning-To-Rank +1

Biologically Plausible Neural Networks via Evolutionary Dynamics and Dopaminergic Plasticity

no code implementations NeurIPS Workshop Neuro_AI 2019 Sruthi Gorantla, Anand Louis, Christos H. Papadimitriou, Santosh Vempala, Naganand Yadati

Artificial neural networks (ANNs) lack in biological plausibility, chiefly because backpropagation requires a variant of plasticity (precise changes of the synaptic weights informed by neural events that occur downstream in the neural circuit) that is profoundly incompatible with the current understanding of the animal brain.

Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining

no code implementations22 Feb 2019 Rajiv Bajpai, Devamanyu Hazarika, Kunal Singh, Sruthi Gorantla, Erik Cambria, Roger Zimmerman

With the multitude of companies and organizations abound today, ranking them and choosing one out of the many is a difficult and cumbersome task.

Opinion Mining Sentiment Analysis

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