Prabhanjan Kambadur

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 13

Top Topics

Negative Matrix Factorization

Nonlinear Regression

High Dimensions

Frequent Pattern Mining

Top Venues

Publications

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 (2023)
Fatemeh Navidi, Prabhanjan Kambadur, Viswanath Nagarajan
Adaptive Submodular Ranking and Routing. Oper. Res. 68 (3) (2020)
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)
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 (2018)
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)
Insu Han, Prabhanjan Kambadur, KyoungSoo Park, Jinwoo Shin
Faster Greedy MAP Inference for Determinantal Point Processes. ICML (2017)
Insu Han, Prabhanjan Kambadur, KyoungSoo Park, Jinwoo Shin
Faster Greedy MAP Inference for Determinantal Point Processes. CoRR (2017)
Prabhanjan Kambadur, Viswanath Nagarajan, Fatemeh Navidi
Adaptive Submodular Ranking. IPCO (2017)
Fatemeh Navidi, Prabhanjan Kambadur, Viswanath Nagarajan
Adaptive Submodular Ranking. CoRR (2016)
Seunghak Lee, Aurelie 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) (2016)
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) (2016)
Mark Dredze, Miles Osborne, Prabhanjan Kambadur
Geolocation for Twitter: Timing Matters. HLT-NAACL (2016)
Mark Dredze, Prabhanjan Kambadur, Gary Kazantsev, Gideon Mann, Miles Osborne
How Twitter is Changing the Nature of Financial News Discovery. DSMM@SIGMOD (2016)
Christos Boutsidis, Prabhanjan Kambadur, Alex Gittens
Spectral Clustering via the Power Method - Provably. ICML (2015)
Seunghak Lee, Aurelie C. Lozano, Prabhanjan Kambadur, Eric P. Xing
An Efficient Nonlinear Regression Approach for Genome-Wide Detection of Marginal and Interacting Genetic Variations. RECOMB (2015)
Christos Boutsidis, Petros Drineas, Prabhanjan Kambadur, Anastasios Zouzias
A Randomized Algorithm for Approximating the Log Determinant of a Symmetric Positive Definite Matrix. CoRR (2015)
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)
Aleksandr Y. Aravkin, Aurelie C. Lozano, Ronny Luss, Prabhanjan Kambadur
Orthogonal Matching Pursuit for Sparse Quantile Regression. ICDM (2014)
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) (2013)
Prabhanjan Kambadur, Aurelie C. Lozano
A Parallel, Block Greedy Method for Sparse Inverse Covariance Estimation for Ultra-high Dimensions. AISTATS (2013)
Alex Gittens, Prabhanjan Kambadur, Christos Boutsidis
Approximate Spectral Clustering via Randomized Sketching. CoRR (2013)
Abhishek Kumar, Vikas Sindhwani, Prabhanjan Kambadur
Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization. ICML (1) (2013)
Abhishek Kumar, Vikas Sindhwani, Prabhanjan Kambadur
Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization CoRR (2012)
Prabhanjan Kambadur, Amol Ghoting, Anshul Gupta, Andrew Lumsdaine
Extending Task Parallelism for Frequent Pattern Mining CoRR (2012)
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)
Vijay A. Saraswat, Prabhanjan Kambadur, Sreedhar B. Kodali, David Grove, Sriram Krishnamoorthy
Lifeline-based global load balancing. PPOPP (2011)
Prabhanjan Kambadur, Anshul Gupta, Amol Ghoting, Haim Avron, Andrew Lumsdaine
PFunc: modern task parallelism for modern high performance computing. SC (2009)
Prabhanjan Kambadur, Anshul Gupta, Torsten Hoefler, Andrew Lumsdaine
Demand-driven execution of static directed acyclic graphs using task parallelism. HiPC (2009)
Prabhanjan Kambadur, Amol Ghoting, Anshul Gupta, Andrew Lumsdaine
Extending Task Parallelism For Frequent Pattern Mining. PARCO (2009)
Prabhanjan Kambadur, Douglas P. Gregor, Andrew Lumsdaine
OpenMP Extensions for Generic Libraries. IWOMP (2008)
Torsten Hoefler, Prabhanjan Kambadur, Richard L. Graham, Galen M. Shipman, Andrew Lumsdaine
A Case for Standard Non-blocking Collective Operations. PVM/MPI (2007)
Prabhanjan Kambadur, Douglas P. Gregor, Andrew Lumsdaine
Parallelization of Generic Libraries Based on Type Properties. International Conference on Computational Science (1) (2007)
Prabhanjan Kambadur, Douglas P. Gregor, Andrew Lumsdaine, Amey Dharurkar
Modernizing the C++ Interface to MPI. PVM/MPI (2006)
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)
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)
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)