Prabhanjan Kambadur

According to our database, Prabhanjan Kambadur authored at least 31 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Academics Can Contribute to Domain-Specialized Language Models.

Mark Dredze, Genta Indra Winata, Prabhanjan Kambadur, Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, David S. Rosenberg, Sebastian Gehrmann

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

BloombergGPT: A Large Language Model for Finance.

Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David S. Rosenberg, Gideon Mann

CoRR, 2023

2020

Adaptive Submodular Ranking and Routing.

Fatemeh Navidi, Prabhanjan Kambadur, Viswanath Nagarajan

Oper. Res., 2020

2019

A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition.

Ravneet Arora, Chen-Tse Tsai, Ketevan Tsereteli, Prabhanjan Kambadur, Yi Yang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Weakly-supervised Contextualization of Knowledge Graph Facts.

Nikos Voskarides, Edgar Meij, Ridho Reinanda, Abhinav Khaitan, Miles Osborne, Giorgio Stefanoni, Prabhanjan Kambadur, Maarten de Rijke

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

2017

Adaptive Submodular Ranking.

Prabhanjan Kambadur, Viswanath Nagarajan, Fatemeh Navidi

Proceedings of the Integer Programming and Combinatorial Optimization, 2017

Faster Greedy MAP Inference for Determinantal Point Processes.

Insu Han, Prabhanjan Kambadur, KyoungSoo Park, Jinwoo Shin

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

X10 and APGAS at Petascale.

Olivier Tardieu, Benjamin Herta, David Cunningham, David Grove, Prabhanjan Kambadur, Vijay A. Saraswat, Avraham Shinnar, Mikio Takeuchi, Mandana Vaziri, Wei Zhang

ACM Trans. Parallel Comput., 2016

An Efficient Nonlinear Regression Approach for Genome-wide Detection of Marginal and Interacting Genetic Variations.

Seunghak Lee, Aurélie C. Lozano, Prabhanjan Kambadur, Eric P. Xing

J. Comput. Biol., 2016

Geolocation for Twitter: Timing Matters.

Mark Dredze, Miles Osborne, Prabhanjan Kambadur

Proceedings of the NAACL HLT 2016, 2016

How Twitter is Changing the Nature of Financial News Discovery.

Mark Dredze, Prabhanjan Kambadur, Gary Kazantsev, Gideon Mann, Miles Osborne

Proceedings of the Second International Workshop on Data Science for Macro-Modeling, 2016

2015

A Randomized Algorithm for Approximating the Log Determinant of a Symmetric Positive Definite Matrix.

Christos Boutsidis, Petros Drineas, Prabhanjan Kambadur, Anastasios Zouzias

CoRR, 2015

Spectral Clustering via the Power Method - Provably.

Christos Boutsidis, Prabhanjan Kambadur, Alex Gittens

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

X10 and APGAS at Petascale.

Olivier Tardieu, Benjamin Herta, David Cunningham, David Grove, Prabhanjan Kambadur, Vijay A. Saraswat, Avraham Shinnar, Mikio Takeuchi, Mandana Vaziri

Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2014

Orthogonal Matching Pursuit for Sparse Quantile Regression.

Aleksandr Y. Aravkin, Aurélie C. Lozano, Ronny Luss, Prabhanjan Kambadur

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

Trends and outlook for the massive-scale analytics stack.

Amol Ghoting, John A. Gunnels, Prabhanjan Kambadur, Edwin P. D. Pednault, Mark S. Squillante

IBM J. Res. Dev., 2013

Approximate Spectral Clustering via Randomized Sketching.

Alex Gittens, Prabhanjan Kambadur, Christos Boutsidis

CoRR, 2013

Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization.

Abhishek Kumar, Vikas Sindhwani, Prabhanjan Kambadur

Proceedings of the 30th International Conference on Machine Learning, 2013

A Parallel, Block Greedy Method for Sparse Inverse Covariance Estimation for Ultra-high Dimensions.

Prabhanjan Kambadur, Aurélie C. Lozano

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2011

Lifeline-based global load balancing.

Vijay A. Saraswat, Prabhanjan Kambadur, Sreedhar B. Kodali, David Grove, Sriram Krishnamoorthy

Proceedings of the 16th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2011

NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce.

Amol Ghoting, Prabhanjan Kambadur, Edwin P. D. Pednault, Ramakrishnan Kannan

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2009

PFunc: modern task parallelism for modern high performance computing.

Prabhanjan Kambadur, Anshul Gupta, Amol Ghoting, Haim Avron, Andrew Lumsdaine

Proceedings of the ACM/IEEE Conference on High Performance Computing, 2009

Extending Task Parallelism For Frequent Pattern Mining.

Prabhanjan Kambadur, Amol Ghoting, Anshul Gupta, Andrew Lumsdaine

Proceedings of the Parallel Computing: From Multicores and GPU's to Petascale, 2009

Demand-driven execution of static directed acyclic graphs using task parallelism.

Prabhanjan Kambadur, Anshul Gupta, Torsten Hoefler, Andrew Lumsdaine

Proceedings of the 16th International Conference on High Performance Computing, 2009

2008

OpenMP Extensions for Generic Libraries.

Prabhanjan Kambadur, Douglas P. Gregor, Andrew Lumsdaine

Proceedings of the OpenMP in a New Era of Parallelism, 4th International Workshop, 2008

2007

A Case for Standard Non-blocking Collective Operations.

Torsten Hoefler, Prabhanjan Kambadur, Richard L. Graham, Galen M. Shipman, Andrew Lumsdaine

Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 14th European PVM/MPI User's Group Meeting, Paris, France, September 30, 2007

Parallelization of Generic Libraries Based on Type Properties.

Prabhanjan Kambadur, Douglas P. Gregor, Andrew Lumsdaine

Proceedings of the Computational Science, 2007

2006

Modernizing the C++ Interface to MPI.

Prabhanjan Kambadur, Douglas P. Gregor, Andrew Lumsdaine, Amey Dharurkar

Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 2006

2004

TEG: A High-Performance, Scalable, Multi-network Point-to-Point Communications Methodology.

Timothy S. Woodall, Richard L. Graham, Ralph H. Castain, David J. Daniel, Mitchel W. Sukalski, Graham E. Fagg, Edgar Gabriel, George Bosilca, Thara Angskun, Jack J. Dongarra, Jeffrey M. Squyres, Vishal Sahay, Prabhanjan Kambadur, Brian Barrett, Andrew Lumsdaine

Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 2004

Open MPI's TEG Point-to-Point Communications Methodology: Comparison to Existing Implementations.

Timothy S. Woodall, Richard L. Graham, Ralph H. Castain, David J. Daniel, Mitchel W. Sukalski, Graham E. Fagg, Edgar Gabriel, George Bosilca, Thara Angskun, Jack J. Dongarra, Jeffrey M. Squyres, Vishal Sahay, Prabhanjan Kambadur, Brian Barrett, Andrew Lumsdaine

Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 2004

Open MPI: Goals, Concept, and Design of a Next Generation MPI Implementation.

Edgar Gabriel, Graham E. Fagg, George Bosilca, Thara Angskun, Jack J. Dongarra, Jeffrey M. Squyres, Vishal Sahay, Prabhanjan Kambadur, Brian Barrett, Andrew Lumsdaine, Ralph H. Castain, David J. Daniel, Richard L. Graham, Timothy S. Woodall

Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 2004