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Prabhanjan Kambadur
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Journal Articles
- 2020
- [j4]Fatemeh Navidi, Prabhanjan Kambadur, Viswanath Nagarajan
:
Adaptive Submodular Ranking and Routing. Oper. Res. 68(3): 856-877 (2020) - 2016
- [j3]Seunghak Lee, Aurélie C. Lozano, Prabhanjan Kambadur, Eric P. Xing:
An Efficient Nonlinear Regression Approach for Genome-wide Detection of Marginal and Interacting Genetic Variations. J. Comput. Biol. 23(5): 372-389 (2016) - [j2]Olivier Tardieu, Benjamin Herta, David Cunningham, David Grove
, Prabhanjan Kambadur, Vijay A. Saraswat, Avraham Shinnar, Mikio Takeuchi, Mandana Vaziri, Wei Zhang:
X10 and APGAS at Petascale. ACM Trans. Parallel Comput. 2(4): 25:1-25:32 (2016) - 2013
- [j1]Amol Ghoting, John A. Gunnels, Prabhanjan Kambadur, Edwin P. D. Pednault, Mark S. Squillante:
Trends and outlook for the massive-scale analytics stack. IBM J. Res. Dev. 57(3/4): 2 (2013)
Conference and Workshop Papers
- 2019
- [c24]Ravneet Arora, Chen-Tse Tsai, Ketevan Tsereteli, Prabhanjan Kambadur, Yi Yang:
A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition. ACL (1) 2019: 5862-5866 - 2018
- [c23]Nikos Voskarides, Edgar Meij, Ridho Reinanda, Abhinav Khaitan, Miles Osborne, Giorgio Stefanoni, Prabhanjan Kambadur, Maarten de Rijke
:
Weakly-supervised Contextualization of Knowledge Graph Facts. SIGIR 2018: 765-774 - 2017
- [c22]Insu Han, Prabhanjan Kambadur, KyoungSoo Park, Jinwoo Shin:
Faster Greedy MAP Inference for Determinantal Point Processes. ICML 2017: 1384-1393 - [c21]Prabhanjan Kambadur, Viswanath Nagarajan, Fatemeh Navidi:
Adaptive Submodular Ranking. IPCO 2017: 317-329 - 2016
- [c20]Mark Dredze
, Prabhanjan Kambadur, Gary Kazantsev
, Gideon Mann, Miles Osborne:
How Twitter is Changing the Nature of Financial News Discovery. DSMM@SIGMOD 2016: 2:1-2:5 - [c19]Mark Dredze, Miles Osborne, Prabhanjan Kambadur:
Geolocation for Twitter: Timing Matters. HLT-NAACL 2016: 1064-1069 - 2015
- [c18]Christos Boutsidis, Prabhanjan Kambadur, Alex Gittens:
Spectral Clustering via the Power Method - Provably. ICML 2015: 40-48 - [c17]Seunghak Lee, Aurélie C. Lozano, Prabhanjan Kambadur, Eric P. Xing:
An Efficient Nonlinear Regression Approach for Genome-Wide Detection of Marginal and Interacting Genetic Variations. RECOMB 2015: 167-187 - 2014
- [c16]Aleksandr Y. Aravkin, Aurélie C. Lozano, Ronny Luss, Prabhanjan Kambadur:
Orthogonal Matching Pursuit for Sparse Quantile Regression. ICDM 2014: 11-19 - [c15]Olivier Tardieu, Benjamin Herta, David Cunningham, David Grove
, Prabhanjan Kambadur, Vijay A. Saraswat, Avraham Shinnar, Mikio Takeuchi, Mandana Vaziri:
X10 and APGAS at Petascale. PPoPP 2014: 53-66 - 2013
- [c14]Prabhanjan Kambadur, Aurélie C. Lozano:
A Parallel, Block Greedy Method for Sparse Inverse Covariance Estimation for Ultra-high Dimensions. AISTATS 2013: 351-359 - [c13]Abhishek Kumar, Vikas Sindhwani, Prabhanjan Kambadur:
Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization. ICML (1) 2013: 231-239 - 2011
- [c12]Amol Ghoting, Prabhanjan Kambadur, Edwin P. D. Pednault, Ramakrishnan Kannan:
NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce. KDD 2011: 334-342 - [c11]Vijay A. Saraswat, Prabhanjan Kambadur, Sreedhar B. Kodali, David Grove
, Sriram Krishnamoorthy
:
Lifeline-based global load balancing. PPoPP 2011: 201-212 - 2009
- [c10]Prabhanjan Kambadur, Anshul Gupta, Torsten Hoefler, Andrew Lumsdaine
:
Demand-driven execution of static directed acyclic graphs using task parallelism. HiPC 2009: 284-293 - [c9]Prabhanjan Kambadur, Amol Ghoting, Anshul Gupta, Andrew Lumsdaine
:
Extending Task Parallelism For Frequent Pattern Mining. PARCO 2009: 289-296 - [c8]Prabhanjan Kambadur, Anshul Gupta, Amol Ghoting, Haim Avron
, Andrew Lumsdaine
:
PFunc: modern task parallelism for modern high performance computing. SC 2009 - 2008
- [c7]Prabhanjan Kambadur, Douglas P. Gregor, Andrew Lumsdaine:
OpenMP Extensions for Generic Libraries. IWOMP 2008: 123-133 - 2007
- [c6]Prabhanjan Kambadur, Douglas P. Gregor, Andrew Lumsdaine
:
Parallelization of Generic Libraries Based on Type Properties. International Conference on Computational Science (1) 2007: 620-627 - [c5]Torsten Hoefler, Prabhanjan Kambadur, Richard L. Graham, Galen M. Shipman, Andrew Lumsdaine
:
A Case for Standard Non-blocking Collective Operations. PVM/MPI 2007: 125-134 - 2006
- [c4]Prabhanjan Kambadur, Douglas P. Gregor, Andrew Lumsdaine
, Amey Dharurkar:
Modernizing the C++ Interface to MPI. PVM/MPI 2006: 266-274 - 2004
- [c3]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:
Open MPI: Goals, Concept, and Design of a Next Generation MPI Implementation. PVM/MPI 2004: 97-104 - [c2]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:
Open MPI's TEG Point-to-Point Communications Methodology: Comparison to Existing Implementations. PVM/MPI 2004: 105-111 - [c1]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
:
TEG: A High-Performance, Scalable, Multi-network Point-to-Point Communications Methodology. PVM/MPI 2004: 303-310
Informal and Other Publications
- 2023
- [i8]Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David S. Rosenberg, Gideon Mann:
BloombergGPT: A Large Language Model for Finance. CoRR abs/2303.17564 (2023) - 2018
- [i7]Nikos Voskarides, Edgar Meij, Ridho Reinanda, Abhinav Khaitan, Miles Osborne, Giorgio Stefanoni, Prabhanjan Kambadur, Maarten de Rijke:
Weakly-supervised Contextualization of Knowledge Graph Facts. CoRR abs/1805.02393 (2018) - 2017
- [i6]Insu Han, Prabhanjan Kambadur, KyoungSoo Park, Jinwoo Shin:
Faster Greedy MAP Inference for Determinantal Point Processes. CoRR abs/1703.03389 (2017) - 2016
- [i5]Fatemeh Navidi, Prabhanjan Kambadur, Viswanath Nagarajan:
Adaptive Submodular Ranking. CoRR abs/1606.01530 (2016) - 2015
- [i4]Christos Boutsidis, Petros Drineas, Prabhanjan Kambadur, Anastasios Zouzias:
A Randomized Algorithm for Approximating the Log Determinant of a Symmetric Positive Definite Matrix. CoRR abs/1503.00374 (2015) - 2013
- [i3]Alex Gittens, Prabhanjan Kambadur, Christos Boutsidis:
Approximate Spectral Clustering via Randomized Sketching. CoRR abs/1311.2854 (2013) - 2012
- [i2]Abhishek Kumar, Vikas Sindhwani, Prabhanjan Kambadur:
Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization. CoRR abs/1210.1190 (2012) - [i1]Prabhanjan Kambadur, Amol Ghoting, Anshul Gupta, Andrew Lumsdaine:
Extending Task Parallelism for Frequent Pattern Mining. CoRR abs/1211.1658 (2012)
Coauthor Index
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