Prabhanjan Kambadur

37 papers A* 6A 2B 4Misc 2Journal 12Unranked 11

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Academics Can Contribute to Domain-Specialized Language Models. EMNLP Mark Dredze, Genta Indra Winata, Prabhanjan Kambadur, Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, David S. Rosenberg, Sebastian Gehrmann
2023	J	`jnl`	BloombergGPT: A Large Language Model for Finance. CoRR Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David S. Rosenberg, Gideon Mann
2020	J	`jnl`	Adaptive Submodular Ranking and Routing. Oper. Res. Fatemeh Navidi, Prabhanjan Kambadur, Viswanath Nagarajan
2019	—	`conf`	A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition. ACL (1) Ravneet Arora, Chen-Tse Tsai, Ketevan Tsereteli, Prabhanjan Kambadur, Yi Yang
2018	A*	`conf`	Weakly-supervised Contextualization of Knowledge Graph Facts. SIGIR Nikos Voskarides, Edgar Meij, Ridho Reinanda, Abhinav Khaitan, Miles Osborne, Giorgio Stefanoni, Prabhanjan Kambadur, Maarten de Rijke
2018	J	`jnl`	Weakly-supervised Contextualization of Knowledge Graph Facts. CoRR Nikos Voskarides, Edgar Meij, Ridho Reinanda, Abhinav Khaitan, Miles Osborne, Giorgio Stefanoni, Prabhanjan Kambadur, Maarten de Rijke
2017	B	`conf`	Adaptive Submodular Ranking. IPCO Prabhanjan Kambadur, Viswanath Nagarajan, Fatemeh Navidi
2017	A*	`conf`	Faster Greedy MAP Inference for Determinantal Point Processes. ICML Insu Han, Prabhanjan Kambadur, KyoungSoo Park, Jinwoo Shin
2017	J	`jnl`	Faster Greedy MAP Inference for Determinantal Point Processes. CoRR Insu Han, Prabhanjan Kambadur, KyoungSoo Park, Jinwoo Shin
2016	J	`jnl`	Adaptive Submodular Ranking. CoRR Fatemeh Navidi, Prabhanjan Kambadur, Viswanath Nagarajan
2016	J	`jnl`	An Efficient Nonlinear Regression Approach for Genome-wide Detection of Marginal and Interacting Genetic Variations. J. Comput. Biol. Seunghak Lee, Aurélie C. Lozano, Prabhanjan Kambadur, Eric P. Xing
2016	—	`conf`	Geolocation for Twitter: Timing Matters. HLT-NAACL Mark Dredze, Miles Osborne, Prabhanjan Kambadur
2016	—	`conf`	How Twitter is Changing the Nature of Financial News Discovery. DSMM@SIGMOD Mark Dredze, Prabhanjan Kambadur, Gary Kazantsev, Gideon Mann, Miles Osborne
2016	J	`jnl`	X10 and APGAS at Petascale. ACM Trans. Parallel Comput. Olivier Tardieu, Benjamin Herta, David Cunningham, David Grove, Prabhanjan Kambadur, Vijay A. Saraswat, Avraham Shinnar, Mikio Takeuchi, Mandana Vaziri, Wei Zhang
2015	J	`jnl`	A Randomized Algorithm for Approximating the Log Determinant of a Symmetric Positive Definite Matrix. CoRR Christos Boutsidis, Petros Drineas, Prabhanjan Kambadur, Anastasios Zouzias
2015	B	`conf`	An Efficient Nonlinear Regression Approach for Genome-Wide Detection of Marginal and Interacting Genetic Variations. RECOMB Seunghak Lee, Aurélie C. Lozano, Prabhanjan Kambadur, Eric P. Xing
2015	A*	`conf`	Spectral Clustering via the Power Method - Provably. ICML Christos Boutsidis, Prabhanjan Kambadur, Alex Gittens
2014	A*	`conf`	Orthogonal Matching Pursuit for Sparse Quantile Regression. ICDM Aleksandr Y. Aravkin, Aurélie C. Lozano, Ronny Luss, Prabhanjan Kambadur
2014	B	`conf`	X10 and APGAS at Petascale. PPoPP Olivier Tardieu, Benjamin Herta, David Cunningham, David Grove, Prabhanjan Kambadur, Vijay A. Saraswat, Avraham Shinnar, Mikio Takeuchi, Mandana Vaziri
2013	A	`conf`	A Parallel, Block Greedy Method for Sparse Inverse Covariance Estimation for Ultra-high Dimensions. AISTATS Prabhanjan Kambadur, Aurélie C. Lozano
2013	J	`jnl`	Approximate Spectral Clustering via Randomized Sketching. CoRR Alex Gittens, Prabhanjan Kambadur, Christos Boutsidis
2013	—	`conf`	Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization. ICML (1) Abhishek Kumar, Vikas Sindhwani, Prabhanjan Kambadur
2013	J	`jnl`	Trends and outlook for the massive-scale analytics stack. IBM J. Res. Dev. Amol Ghoting, John A. Gunnels, Prabhanjan Kambadur, Edwin P. D. Pednault, Mark S. Squillante
2012	J	`jnl`	Extending Task Parallelism for Frequent Pattern Mining CoRR Prabhanjan Kambadur, Amol Ghoting, Anshul Gupta, Andrew Lumsdaine
2012	J	`jnl`	Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization CoRR Abhishek Kumar, Vikas Sindhwani, Prabhanjan Kambadur
2011	B	`conf`	Lifeline-based global load balancing. PPoPP Vijay A. Saraswat, Prabhanjan Kambadur, Sreedhar B. Kodali, David Grove, Sriram Krishnamoorthy
2011	A*	`conf`	NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce. KDD Amol Ghoting, Prabhanjan Kambadur, Edwin P. D. Pednault, Ramakrishnan Kannan
2009	Misc	`conf`	Demand-driven execution of static directed acyclic graphs using task parallelism. HiPC Prabhanjan Kambadur, Anshul Gupta, Torsten Hoefler, Andrew Lumsdaine
2009	—	`conf`	Extending Task Parallelism For Frequent Pattern Mining. PARCO Prabhanjan Kambadur, Amol Ghoting, Anshul Gupta, Andrew Lumsdaine
2009	A	`conf`	PFunc: modern task parallelism for modern high performance computing. SC Prabhanjan Kambadur, Anshul Gupta, Amol Ghoting, Haim Avron, Andrew Lumsdaine
2008	—	`conf`	OpenMP Extensions for Generic Libraries. IWOMP Prabhanjan Kambadur, Douglas P. Gregor, Andrew Lumsdaine
2007	—	`conf`	A Case for Standard Non-blocking Collective Operations. PVM/MPI Torsten Hoefler, Prabhanjan Kambadur, Richard L. Graham, Galen M. Shipman, Andrew Lumsdaine
2007	Misc	`conf`	Parallelization of Generic Libraries Based on Type Properties. International Conference on Computational Science (1) Prabhanjan Kambadur, Douglas P. Gregor, Andrew Lumsdaine
2006	—	`conf`	Modernizing the C++ Interface to MPI. PVM/MPI Prabhanjan Kambadur, Douglas P. Gregor, Andrew Lumsdaine, Amey Dharurkar
2004	—	`conf`	Open MPI's TEG Point-to-Point Communications Methodology: Comparison to Existing Implementations. PVM/MPI 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
2004	—	`conf`	Open MPI: Goals, Concept, and Design of a Next Generation MPI Implementation. PVM/MPI 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
2004	—	`conf`	TEG: A High-Performance, Scalable, Multi-network Point-to-Point Communications Methodology. PVM/MPI 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