Yashoteja Prabhu

Senior Researcher

Publications

View by:

Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction

Anirudh Buvanesh, Rahul Chand, Jatin Prakash, Bhawna Paliwal, Mudit Dhawan, Neelabh Madan, Deepesh Hada, Vidit Jain, Sonu Mehta, Yashoteja Prabhu, Manish Gupta, Ramachandran Ramjee, Manik Varma (manik)

ICLR 2024 | April 2024

Publication Project
Generalized Zero-Shot Extreme Multi-label Learning

Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma

2021 Knowledge Discovery and Data Mining | August 2021

DOI Publication Project
Extreme Regression for Dynamic Search Advertising

Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma

ACM International Conference on Web Search and Data Mining | February 2020

Publication Project
Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising

Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma

ACM International WWW Conference | April 2018

Publication

Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation

Yashoteja Prabhu, Anil Kag, Shilpa Gopinath, Kunal Dahiya, Shrutendra Harsola, Rahul Agrawal, Manik Varma

ACM International Conference on Web Search and Data Mining | February 2018

Publication Publication Project
Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications.

Himanshu Jain, Yashoteja Prabhu, Manik Varma

ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2016

Publication Project
FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning

Yashoteja Prabhu, Manik Varma

ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014

Publication Publication Project
Multi-label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages

Rahul Agrawal, Archit Gupta, Yashoteja Prabhu, Manik Varma

Proceedings of the International World Wide Web Conference | May 2013

Publication Project

Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction

Anirudh Buvanesh, Rahul Chand, Jatin Prakash, Bhawna Paliwal, Mudit Dhawan, Neelabh Madan, Deepesh Hada, Vidit Jain, Sonu Mehta, Yashoteja Prabhu, Manish Gupta, Ramachandran Ramjee, Manik Varma (manik)

ICLR 2024 | April 2024

Publication Project

Generalized Zero-Shot Extreme Multi-label Learning

Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma

2021 Knowledge Discovery and Data Mining | August 2021

DOI Publication Project

Extreme Regression for Dynamic Search Advertising

Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma

ACM International Conference on Web Search and Data Mining | February 2020

Publication Project

Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising

Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma

ACM International WWW Conference | April 2018

Publication

Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications.

Himanshu Jain, Yashoteja Prabhu, Manik Varma

ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2016

Publication Project

Multi-label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages

Rahul Agrawal, Archit Gupta, Yashoteja Prabhu, Manik Varma

Proceedings of the International World Wide Web Conference | May 2013

Publication Project
Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction

Anirudh Buvanesh, Rahul Chand, Jatin Prakash, Bhawna Paliwal, Mudit Dhawan, Neelabh Madan, Deepesh Hada, Vidit Jain, Sonu Mehta, Yashoteja Prabhu, Manish Gupta, Ramachandran Ramjee, Manik Varma (manik)

ICLR 2024 | April 2024

Publication Project

Generalized Zero-Shot Extreme Multi-label Learning

Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma

2021 Knowledge Discovery and Data Mining | August 2021

DOI Publication Project

Extreme Regression for Dynamic Search Advertising

Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma

ACM International Conference on Web Search and Data Mining | February 2020

Publication Project

Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising

Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma

ACM International WWW Conference | April 2018

Publication

Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation

Yashoteja Prabhu, Anil Kag, Shilpa Gopinath, Kunal Dahiya, Shrutendra Harsola, Rahul Agrawal, Manik Varma

ACM International Conference on Web Search and Data Mining | February 2018

Publication Publication Project

Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications.

Himanshu Jain, Yashoteja Prabhu, Manik Varma

ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2016

Publication Project

FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning

Yashoteja Prabhu, Manik Varma

ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014

Publication Publication Project

Multi-label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages

Rahul Agrawal, Archit Gupta, Yashoteja Prabhu, Manik Varma

Proceedings of the International World Wide Web Conference | May 2013

Publication Project
Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising

Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma

ACM International WWW Conference | April 2018

Publication

FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning

Yashoteja Prabhu, Manik Varma

ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014

Publication Publication Project
Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising

Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma

ACM International WWW Conference | April 2018

Publication

Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction

Anirudh Buvanesh, Rahul Chand, Jatin Prakash, Bhawna Paliwal, Mudit Dhawan, Neelabh Madan, Deepesh Hada, Vidit Jain, Sonu Mehta, Yashoteja Prabhu, Manish Gupta, Ramachandran Ramjee, Manik Varma (manik)

ICLR 2024 | April 2024

Publication Project

Generalized Zero-Shot Extreme Multi-label Learning

Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma

2021 Knowledge Discovery and Data Mining | August 2021

DOI Publication Project

Extreme Regression for Dynamic Search Advertising

Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma

ACM International Conference on Web Search and Data Mining | February 2020

Publication Project

Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising

Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma

ACM International WWW Conference | April 2018

Publication

Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation

Yashoteja Prabhu, Anil Kag, Shilpa Gopinath, Kunal Dahiya, Shrutendra Harsola, Rahul Agrawal, Manik Varma

ACM International Conference on Web Search and Data Mining | February 2018

Publication Publication Project

Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications.

Himanshu Jain, Yashoteja Prabhu, Manik Varma

ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2016

Publication Project

FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning

Yashoteja Prabhu, Manik Varma

ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014

Publication Publication Project

Multi-label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages

Rahul Agrawal, Archit Gupta, Yashoteja Prabhu, Manik Varma

Proceedings of the International World Wide Web Conference | May 2013

Publication Project

Yashoteja Prabhu

Publications

Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction

Generalized Zero-Shot Extreme Multi-label Learning

Extreme Regression for Dynamic Search Advertising

Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising

Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation

Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications.

FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning

Multi-label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages

Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction

Generalized Zero-Shot Extreme Multi-label Learning

Extreme Regression for Dynamic Search Advertising

Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising

Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications.

Multi-label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages

Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction

Generalized Zero-Shot Extreme Multi-label Learning

Extreme Regression for Dynamic Search Advertising

Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising

Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation

Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications.

FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning

Multi-label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages

Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising

FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning

Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising

Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction

Generalized Zero-Shot Extreme Multi-label Learning

Extreme Regression for Dynamic Search Advertising

Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising

Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation

Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications.

FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning

Multi-label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages

Contact Yashoteja Prabhu

Microsoft Research Lab – India

Yashoteja Prabhu

Publications

Publications by Year

2024

2021

2020

2018

2016

2014

2013

Publications by Research Area

Algorithms

Artificial intelligence

Data platforms and analytics

Human language technologies

Publications by Type

Inproceedings (Conference)