On Coresets for Support Vector Machines by Baykal, Cenk, Rus, Daniela L

“…A coreset is a small, representative subset of the original data points such that a models trained on the coreset are provably competitive with those trained on the original data set. …”
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On coresets for support vector machines by Tukan, Murad, Baykal, Cenk, Feldman, Dan, Rus, Daniela

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Coreset Clustering on Small Quantum Computers by Teague Tomesh, Pranav Gokhale, Eric R. Anschuetz, Frederic T. Chong

“…We were able to find data sets with which coresets work well relative to random sampling and where QAOA could potentially outperform standard <i>k</i>-means on a coreset. …”
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Visual precis generation using coresets by Paul, Rohan, Feldman, Dan, Newman, Paul, Rus, Daniela L.

“…A coreset for an image stream is a set of representative images that semantically compresses the data corpus, in the sense that every frame has a similar representative image in the coreset. …”
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Coresets for k-Segmentation of Streaming Data by Rosman, Guy, Volkov, Mikhail, Feldman, Dan, Fisher III, John W., Rus, Daniela L.

“…We consider the problem of computing optimal segmentation of such signals by k-piecewise linear function, using only one pass over the data by maintaining a coreset for the signal. The coreset enables fast further analysis such as automatic summarization and analysis of such signals. …”
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Coresets for scalable Bayesian logistic regression by Huggins, Jonathan H., Campbell, Trevor David, Broderick, Tamara A

“…We can then use this small coreset in any number of existing posterior inference algorithms without modification. …”
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Coreset Clustering on Small Quantum Computers by Tomesh, Teague, Gokhale, Pranav, Anschuetz, Eric R., Chong, Frederic T.

“…We were able to find data sets with which coresets work well relative to random sampling and where QAOA could potentially outperform standard <i>k</i>-means on a coreset. …”
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Coreset Clustering on Small Quantum Computers by Anschuetz, Eric R.

“…We were able to find data sets with which coresets work well relative to random sampling and where QAOA could potentially outperform standard <i>k</i>-means on a coreset. …”
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Streaming coreset constructions for M-estimators

“…We introduce a new method of maintaining a (k, ϵ)-coreset for clustering M-estimators over insertion-only streams. …”
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Streaming coreset constructions for M-estimators by Braverman, Vladimir, Feldman, Dan, Lang, Harry, Rus, Daniela L

“…We introduce a new method of maintaining a (k, ϵ)-coreset for clustering M-estimators over insertion-only streams. …”
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Extending Contrastive Learning to Unsupervised Coreset Selection by Jeongwoo Ju, Heechul Jung, Yoonju Oh, Junmo Kim

Subjects: “…Coreset selection…”
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Coresets for visual summarization with applications to loop closure by Volkov, Mikhail, Rosman, Guy, Feldman, Dan, Fisher III, John W., Rus, Daniela L.

“…Using a highly efficient compression coreset method, we formulate a new method for hierarchical retrieval of frames from large video streams collected online by a moving robot. …”
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Hybrid control and learning with coresets for autonomous vehicles by Rosman, Guy, Paull, Liam, Rus, Daniela

“…In this work we propose an efficient framework based on recursive neural networks and coreset data summarization to learn the transitions between an arbitrary number of controller modes that can have arbitrary complexity. …”
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Hybrid control and learning with coresets for autonomous vehicles by Rosman, Guy, Paull, Liam, Rus, Daniela L

“…In this work we propose an efficient framework based on recursive neural networks and coreset data summarization to learn the transitions between an arbitrary number of controller modes that can have arbitrary complexity. …”
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A Statistical Perspective on Coreset Density Estimation by Turner, Paxton, Liu, Jingbo, Rigollet, Philippe

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Coresets for the Average Case Error for Finite Query Sets by Alaa Maalouf, Ibrahim Jubran, Murad Tukan, Dan Feldman

Subjects: “…coreset…”
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Autonomous Toy Drone via Coresets for Pose Estimation by Soliman Nasser, Ibrahim Jubran, Dan Feldman

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Learning Big (Image) Data via Coresets for Dictionaries by Sochen, Nir, Feldman, Dan, Feigin-Almon, Micha

“…In particular, the optimal dictionary for the input can be approximated by learning the coreset. Since the coreset is small, the learning is faster. …”
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Automated Scalable Bayesian Inference via Hilbert Coresets by Campbell, Trevor David, Broderick, Tamara A

“…To address these shortcomings we develop Hilbert coresets, i.e., Bayesian coresets constructed under a norm induced by an inner-product on the log-likelihood function space. …”
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Dimensionality reduction of massive sparse datasets using coresets by Rus, Daniela, Feldman, Dan, Volkov, Mikhail

“…Our main technical result is a new framework for deterministic coreset constructions based on a reduction to the problem of counting items in a stream.…”
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