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Determinantal point processes (DPPs) are elegant probabilistic models of repulsion that arise in quantum physics and random matrix theory.
On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals
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Spatial variation. stochastic models and their application to some problems in forest surveys and other sampling investigations
B. Matérn · 1960
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M.L. Mehta and M. Gaudin · 1960
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Funktionen von beschränkter variatiou in der theorie der gleichverteilung
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MA Fischler and RA Elschlager · 1973
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G. R. Grimmett · 1973
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The coincidence approach to stochastic point processes
O. Macchi · 1975
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D.J. Strauss · 1975
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Some methods of statistical analysis for spatial data
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Markov point processes
BD Ripley and FP Kelly · 1977
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An analysis of approximations for maximizing submodular set functions—ii
M.L. Fisher, G.L. Nemhauser, and L.A. Wolsey · 1978
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An analysis of approximations for maximizing submodular set functions—i
G.L. Nemhauser, L.A. Wolsey, and M.L. Fisher · 1978
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Maximum density of random placing of membrane particles
L. Finegold and J.T. Donnell · 1979
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On random complete packing by discs
M. Tanemura · 1979
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The complexity of computing the permanent
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Random sequential adsorption
J. Feder · 1980
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Updating quasi-Newton matrices with limited storage
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Dynamics of random sequential adsorption
R.H. Swendsen · 1981
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Point process limits of lattice processes
J. Besag, R. Milne, and S. Zachary · 1982
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Reverend bayes on inference engines: A distributed hierarchical approach
J. Pearl · 1982
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An algorithm for the second immanant
R. Grone and R. Merris · 1984
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Extensions of lipschitz mappings into a hilbert space
W.B. Johnson and J. Lindenstrauss · 1984
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Likelihood analysis of spatial point patterns
Y. Ogata and M. Tanemura · 1984
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On the complexity of immanants
W. Hartmann · 1985
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Estimation of interaction potentials of marked spatial point patterns through the maximum likelihood method
Y. Ogata and M. Tanemura · 1985
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On one of matérn’s hard-core point process models
D. Stoyan and H. Stoyan · 1985
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A computational approach to edge detection
J. Canny · 1986
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Geometry of random sequential adsorption
E.L. Hinrichsen, J. Feder, and T. Jøssang · 1986
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Spatial variation
B. Matérn · 1986
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A nonparametric estimator for pairwise-interaction point processes
P.J. Diggle, D.J. Gates, and A. Stibbard · 1987
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Algorithm 659: Implementing sobol’s quasirandom sequence generator
P. Bratley and B.L. Fox · 1988
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Local computations with probabilities on graphical structures and their application to expert systems
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Lectures on linear algebra
I.M. Gel’fand · 1989
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Computational complexity of immanents and representations of the full linear group
A.I. Barvinok · 1990
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The computational complexity of probabilistic inference using bayesian belief networks
G.F. Cooper · 1990
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Pseudolikelihood for exponential family models of spatial point processes
J.L. Jensen and J. Moller · 1991
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Statistical inference for spatial processes
B.D. Ripley · 1991
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Quasi-Monte Carlo Methods
H. Niederreiter · 1992
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Spatial statistics and bayesian computation
J. Besag and P.J. Green · 1993
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Local characteristics, entropy and limit theorems for spanning trees and domino tilings via transfer-impedances
R. Burton and R. Pemantle · 1993
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Approximating probabilistic inference in bayesian belief networks is np-hard
P. Dagum and M. Luby · 1993
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Review of new experimental techniques for investigating random sequential adsorption
JJ Ramsden · 1993
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On parameter estimation for pairwise interaction point processes
P.J. Diggle, T. Fiksel, P. Grabarnik, Y. Ogata, D. Stoyan, and M. Tanemura · 1994
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Finding maps for belief networks is np-hard
S.E. Shimony · 1994
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Area-interaction point processes
AJ Baddeley and MNM Van Lieshout · 1995
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An exact algorithm for maximum entropy sampling
C.W. Ko, J. Lee, and M. Queyranne · 1995
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Computing elementary symmetric functions and their derivatives: A didactic
F.B. Baker and M.R. Harwell · 1996
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Alpha-permanents and their applications to multivariate gamma, negative binomial and ordinary binomial distributions
D. Vere-Jones · 1997
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Approximating maps for belief networks is np-hard and other theorems
A.M. Abdelbar and S.M. Hedetniemi · 1998
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The use of MMR, diversity-based reranking for reordering documents and producing summaries
J. Carbonell and J. Goldstein · 1998
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A threshold of ln n for approximating set cover
U. Feige · 1998
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On quasi-monte carlo integrations
I.M. Sobol · 1998
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Nonlinear Programming
D. Bertsekas · 1999
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A note on the budgeted maximization of submodular functions
A. Krause and C. Guestrin · 2005
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Discovering Evolutionary Theme Patterns From Text: An Exploration of T emporal Text Mining
W. Mei and C. Zhai · 2005
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Bayesian analysis of markov point processes
K. Berthelsen and J. Møller · 2006
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Dynamic topic models
D.M. Blei and J.D. Lafferty · 2006
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Less is more: probabilistic models for retrieving fewer relevant documents
H. Chen and D.R. Karger · 2006
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Determinantal processes and independence
J.B. Hough, M. Krishnapur, Y. Peres, and B. Virág · 2006
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Characterization results and markov chain monte carlo algorithms including exact simulation for some spatial point processes
O. Häggström, M.C.N.M. Van Lieshout, and J. Møller · 1999
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Object recognition from local scale-invariant features
D.G. Lowe · 1999
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Loopy belief propagation for approximate inference: An empirical study
K.P. Murphy, Y. Weiss, and M.I. Jordan · 1999
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Distributions on partitions, point processes, and the hypergeometric kernel
A. Borodin and G. Olshanski · 2000
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The computational complexity of immanants
P. Bürgisser · 2000
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Immanants and finite point processes
P. Diaconis and S.N. Evans · 2000
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The permanental process
P. McCullagh and J. Møller · 2006
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A compositional context sensitive multi-document summarizer: exploring the factors that influence summarization
Ani Nenkova, Lucy Vanderwende, and Kathleen McKeown · 2006
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Building the gist of a scene: The role of global image features in recognition
A. Oliva and A. Torralba · 2006
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Linear programming relaxations and belief propagation–an empirical study
C. Yanover, T. Meltzer, and Y. Weiss · 2006
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Maximizing non-monotone submodular functions
U. Feige, V.S. Mirrokni, and J. Vondrak · 2007
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Modern statistics for spatial point processes*
J. Møller and R.P. Waagepetersen · 2007
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New outer bounds on the marginal polytope
D. Sontag and T. Jaakkola · 2007
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An introduction to the theory of point processes: General theory and structure , volume 2
D.J. Daley and D. Vere-Jones · 2008
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Structured learning with approximate inference
A. Kulesza and F. Pereira · 2008
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Near optimal dimensionality reductions that preserve volumes
A. Magen and A. Zouzias · 2008
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Learning diverse rankings with multi-armed bandits
F. Radlinski, R. Kleinberg, and T. Joachims · 2008
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VLFeat: An open and portable library of computer vision algorithms
A. Vedaldi and B. Fulkerson · 2008
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Predicting diverse subsets using structural SVMs
Y. Yue and T. Joachims · 2008
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Determinantal point processes, 2009
Alexei Borodin · 2009
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On selecting a maximum volume sub-matrix of a matrix and related problems
A. Çivril and M. Magdon-Ismail · 2009
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Hyperdeterminantal point processes
S.N. Evans and A. Gottlieb · 2009
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English Gigaword, 2009
D. Graff and C. Cieri · 2009
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Likelihood-based inference for matérn type-iii repulsive point processes
M.L. Huber and R.L. Wolpert · 2009
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Probabilistic Graphical Models: Principles and Techniques
D. Koller and N. Friedman · 2009
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Non-monotone submodular maximization under matroid and knapsack constraints
J. Lee, V.S. Mirrokni, V. Nagarajan, and M. Sviridenko · 2009
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Meme-tracking and the Dynamics of the News Cycle
J. Leskovec, L. Backstrom, and J. Kleinberg · 2009
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First-and second-order expectation semirings with applications to minimum-risk training on translation forests
Z. Li and J. Eisner · 2009
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Essential pages
A. Swaminathan, C.V. Mathew, and D. Kirovski · 2009
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Determinantal processes
Terence Tao · 2009
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On adding a list of numbers (and other one-dependent determinantal processes)
A. Borodin, P. Diaconis, and J. Fulman · 2010
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Efficient volume sampling for row/column subset selection
A. Deshpande and L. Rademacher · 2010
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Hextac: the creation of a manual extractive run
P.E. Genest, G. Lapalme, and M. Yousfi-Monod · 2010
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Structured determinantal point processes
Alex Kulesza and Ben Taskar · 2010
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Multi-document summarization via budgeted maximization of submodular functions
Hui Lin and Jeff Bilmes · 2010
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Perfect simulation and moment properties for the matérn type iii process
J. Møller, M.L. Huber, and R.L. Wolpert · 2010
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Adaptive pose priors for pictorial structures
Ben Sapp, Chris Jordan, and Ben Taskar · 2010
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Connecting the Dots Between News Articles
D. Shahaf and C. Guestrin · 2010
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Submodular function maximization via the multilinear relaxation and contention resolution schemes
C. Chekuri, J. Vondrák, and R. Zenklusen · 2011
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A unified continuous greedy algorithm for submodular maximization
M. Feldman, J.S. Naor, and R. Schwartz · 2011
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Submodular maximization by simulated annealing
S.O. Gharan and J. Vondrák · 2011
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A probing method for computing the diagonal of a matrix inverse
Jok M. Tang and Yousef Saad · 2011
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Submodular function maximization via the multilinear relaxation and contention resolution schemes
J. Vondrák, C. Chekuri, and R. Zenklusen · 2011
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Evolutionary Timeline Summarization: A Balanced Optimization Framewo rk via Iterative Substitution
R. Yan, X. Wan, J. Otterbacher, L. Kong, X. Li, and Y. Zhang · 2011
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Discovering diverse and salient threads in document collections
J. Gillenwater, A. Kulesza, and B. Taskar · 2012
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Near-optimal map inference for determinantal point processes
Alex Kulesza, Jennifer Gillenwater, and Ben Taskar · 2012
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Learning mixtures of submodular shells with application to document summarization
Hui Lin and Jeff Bilmes · 2012
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Learning to diversify from implicit feedback
K. Raman, P. Shivaswamy, and T. Joachims · 2012
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Trains of Thought: Generating Information Maps
D. Shahaf, C. Guestrin, and E. Horvitz · 2012
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