Abhimanu Kumar

Publication Activity (10 Years)

Years Active: 2009-2020
Publications (10 Years): 4

Top Topics

Machine Learning

Data Transformation

Predictive Modeling

Top Venues

USENIX Annual Technical Conference

Publications

Aniket Anand Deshmukh, Abhimanu Kumar, Levi Boyles, Denis Charles, Eren Manavoglu, Ürün Dogan
Self-Supervised Contextual Bandits in Computer Vision. CoRR (2020)
Abhimanu Kumar, Aniket Anand Deshmukh, Ürün Dogan, Denis Charles, Eren Manavoglu
Data Transformation Insights in Self-supervision with Clustering Tasks. CoRR (2020)
Pengtao Xie, Yuntian Deng, Yi Zhou, Abhimanu Kumar, Yaoliang Yu, James Zou, Eric P. Xing
Learning Latent Space Models with Angular Constraints. ICML (2017)
Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing
Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting. UAI (2016)
Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth A. Gibson, Eric P. Xing
High-Performance Distributed ML at Scale through Parameter Server Consistency Models. AAAI (2015)
Abhimanu Kumar, Shriphani Palakodety, Chong Wang, Carolyn Penstein Rosé, Eric P. Xing, Miaomiao Wen
Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums. CoRR (2015)
Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu
Petuum: A New Platform for Distributed Machine Learning on Big Data. IEEE Trans. Big Data 1 (2) (2015)
Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing
Distributed Machine Learning via Sufficient Factor Broadcasting. CoRR (2015)
Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu
Petuum: A New Platform for Distributed Machine Learning on Big Data. KDD (2015)
Abhimanu Kumar, Alex Beutel, Qirong Ho, Eric P. Xing
Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data. AISTATS (2014)
Henggang Cui, James Cipar, Qirong Ho, Jin Kyu Kim, Seunghak Lee, Abhimanu Kumar, Jinliang Wei, Wei Dai, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing
Exploiting Bounded Staleness to Speed Up Big Data Analytics. USENIX Annual Technical Conference (2014)
Alex Beutel, Partha Pratim Talukdar, Abhimanu Kumar, Christos Faloutsos, Evangelos E. Papalexakis, Eric P. Xing
FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop. SDM (2014)
Archna Bhatia, Chu-Cheng Lin, Nathan Schneider, Yulia Tsvetkov, Fatima Talib Al-Raisi, Laleh Roostapour, Jordan Bender, Abhimanu Kumar, Lori S. Levin, Mandy Simons, Chris Dyer
Automatic Classification of Communicative Functions of Definiteness. COLING (2014)
Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth A. Gibson, Eric P. Xing
High-Performance Distributed ML at Scale through Parameter Server Consistency Models. CoRR (2014)
Jinliang Wei, Wei Dai, Abhimanu Kumar, Xun Zheng, Qirong Ho, Eric P. Xing
Consistent Bounded-Asynchronous Parameter Servers for Distributed ML. CoRR (2013)
Abhimanu Kumar, Jason Baldridge, Matthew Lease, Joydeep Ghosh
Dating Texts without Explicit Temporal Cues CoRR (2012)
Abhimanu Kumar, Matthew Lease, Jason Baldridge
Supervised language modeling for temporal resolution of texts. CIKM (2011)
Abhimanu Kumar, Matthew Lease
Learning to rank from a noisy crowd. SIGIR (2011)
Abhimanu Kumar, Sanjib Kumar Das
A real world network pricing game with less severe Braess' Paradox CoRR (2009)