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Data Science & Analytics

4,466 papers (1 classified directly here)

Subtopics

Applications (2,978) Methods (1,725)

Papers per year

2
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67
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Papers (including subtopics)

Discrete model-based clustering with overlapping subsets of attributes PGM 2018
Forward-Backward Splitting for Time-Varying Graphical Models PGM 2018
DPSCREEN: Dynamic Personalized Screening NIPS 2017
Affinity Clustering: Hierarchical Clustering at Scale NIPS 2017
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks NIPS 2017
Sparse Embedded $k$-Means Clustering NIPS 2017
Independence clustering (without a matrix) NIPS 2017
Adaptive Clustering through Semidefinite Programming NIPS 2017
Mixture-Rank Matrix Approximation for Collaborative Filtering NIPS 2017
A Meta-Learning Perspective on Cold-Start Recommendations for Items NIPS 2017
Off-policy evaluation for slate recommendation NIPS 2017
Discriminative State Space Models NIPS 2017
Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation NIPS 2017
Matrix Norm Estimation from a Few Entries NIPS 2017
A Linear-Time Kernel Goodness-of-Fit Test NIPS 2017
Scalable Demand-Aware Recommendation NIPS 2017
Predicting User Activity Level In Point Processes With Mass Transport Equation NIPS 2017
The Importance of Communities for Learning to Influence NIPS 2017
K-Medoids For K-Means Seeding NIPS 2017
Tomography of the London Underground: a Scalable Model for Origin-Destination Data NIPS 2017
Non-Stationary Spectral Kernels NIPS 2017
Random Projection Filter Bank for Time Series Data NIPS 2017
Welfare Guarantees from Data NIPS 2017
Clustering Stable Instances of Euclidean k-means. NIPS 2017
Approximation Bounds for Hierarchical Clustering: Average Linkage, Bisecting K-means, and Local Search NIPS 2017