Sruthi Gorantla

PhD Candidate | Google PhD Fellow

Interests: Fairness, Algorithms, and Optimization

Department of Computer Science and Automation, IISc Bangalore.
Contact: gorantlas@iisc.ac.in

Google Scholar : DBLP : Github : LinkedIn

Hi, I am a fifth-year PhD candidate in computer science at IISc Bangalore, where I am advised by Anand Louis. I am also closely collaborating with Amit Deshpande from Microsoft Research and Sara Ahmadian from Google Research. Prior to this I finished my masters in computer science at CSA, IISc Bangalore, and bachelors in computer science at NIT Warangal. My research is supported by a Google PhD Fellowship award.

Publications ( *Shared first authorship )

Fairness in Ranking

Fair Active Ranking from Pairwise Preferences.
Sruthi Gorantla, Sara Ahmadian.

Optimizing Group-Fair Plackett-Luce Ranking Models for Relevance and Ex-Post Fairness. [conference version] [code]
Sruthi Gorantla, Eshaan Bhansali, Amit Deshpande, Anand Louis.
SIGIR 2024 (also appeared in the OPT workshop at NeurIPS 2023)
Sampling Individually-Fair Rankings that are Always Group-Fair. [conference version]

Sruthi Gorantla*, Anay Mehrotra*, Amit Deshpande, Anand Louis.

AIES 2023

Sampling Ex-Post Group-Fair Rankings. [conference version] [code]

Sruthi Gorantla, Amit Deshpande, Anand Louis.

IJCAI 2023

On the Problem of Underranking in Group-Fair Ranking. [conference version] [code]

Sruthi Gorantla, Amit Deshpande, Anand Louis.

ICML 2021

Fairness in Clustering

Socially Fair Center-Based and Linear Subspace Clustering. [conference version] [code]

Sruthi Gorantla*, Kishen N. Gowda*, Amit Deshpande, Anand Louis.

ECML-PKDD 2023

AI for Health Care

Increasing Impact of Mobile Health Programs: SAHELI for Maternal and Child Care.
Shresth Verma*, Gargi Singh*, Aditya Mate, Paritosh Verma, Sruthi Gorantla, Neha Madhiwalla, Aparna Hegde, Divy Thakkar, Manish Jain, Milind Tambe, Aparna Taneja.
IAAI 2023 (Best Innovative Application Award)

Multi-disease Predictive Analytics: A Clinical Knowledge-aware Approach.

Lin Qiu, Sruthi Gorantla, Vaibhav Rajan, Bernard C. Y. Tan.

ACMTransactions on Management Information Systems (TMIS) 2021.

Sentiment Analysis

CASCADE: Contextual Sarcasm Detection in Online Discussion Forums.

Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, Erik Cambria, Roger Zimmermann, Rada Mihalcea.

COLING 2018.

Self-Attentive Feature-level Fusion for Multimodal Emotion Detection.

Devamanyu Hazarika, Sruthi Gorantla, Soujanya Poria, Roger Zimmermann.

MIPR 2018.

Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining.

Devamanyu Hazarika, Rajiv Bajpai, Kunal Singh, Sruthi Gorantla, Erik Cambria, Roger Zimmermann.

CICLing 2018.

Miscellaneous

Biologically Plausible Neural Networks via Evolutionary Dynamics and Dopaminergic Plasticity.

Sruthi Gorantla, Anand Louis, Christos H. Papadimitriou, Santosh Vempala, Naganand Yadati.

NeurIPS Workshop on Real Neurons and Hidden Units, 2020.

News

[June 2024] Received a Microsoft Research India PhD Award.
[Jun 2024] Started as an applied science intern at Amazon, Sunnyvale, USA.
[Dec 2023] Presented a poster at the OPT workshop at NeurIPS 2023.
[Oct 2023] Attended the Randomization, Neutrality, and Fairness workshop at SLMath.
[Oct 2023] Talk on Fairness in Ranking -- Ex-Post Group Fairness and Individual Fairness, for,
- ARC Seminars @ GaTech
- EconCS Seminars @ Harvard
- Theory Reading Group @ Dartmouth
- Capital Area Theory Seminar@UMD
- Algorithms Seminars @ Google MTV
- CCDC Seminars @ UC Santa Barbara
[Jun 2023] Joined as a Research Intern at INRIA Saclay, Paris, in the FairPlay team headed by Patrick Loiseau.
[Jan 2023] Attended the Swiss winter school on Theorecial Computer Science at Zinal, Switzerland
[Nov 2022] Passed the comprehensive exam. Now a PhD candidate!
[Sep 2022] Attended the 9th Heidelberg Laureate Forum as one of the 100 young researchers in computer science.
[Aug 2022] Attended the summer school on New Tools for Optimal Mixing of Markov Chains at UCSB.
[Apr 2022] Joined as a Research Intern at Google Research India in the AI for Social Good (AI4SG) Team.
[Nov 2021] Gave a talk at Microsoft Research India and 16th Academic Research and Careers for Students Symposium, India on our recent work On the Problem of Underranking in Group-Fair Ranking.
[Oct 2021] Received Prime Minister Research Fellowship (PRMF); declined in favor of the Google Ph.D. fellowship.
[Sep 2021] Received a Google Ph.D. fellowship award in "Algorithms, Optimizations and Markets" in 2021.

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