Poster
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Wed 18:30
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Learning to Route in Similarity Graphs
Dmitry Baranchuk · Dmitry Persiyanov · Anton Sinitsin · Artem Babenko
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Poster
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Thu 18:30
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DBSCAN++: Towards fast and scalable density clustering
Jennifer Jang · Heinrich Jiang
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Poster
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Tue 18:30
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Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension
Jisu Kim · Jaehyeok Shin · Alessandro Rinaldo · Larry Wasserman
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Poster
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Tue 18:30
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Formal Privacy for Functional Data with Gaussian Perturbations
Ardalan Mirshani · Matthew Reimherr · Aleksandra Slavković
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Poster
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Tue 18:30
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Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise
Henry Reeve · Ata Kaban
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Poster
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Wed 18:30
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On Medians of (Randomized) Pairwise Means
Stephan Clemencon · Pierre Laforgue · Patrice Bertail
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Poster
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Tue 18:30
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Maximum Likelihood Estimation for Learning Populations of Parameters
Ramya Korlakai Vinayak · Weihao Kong · Gregory Valiant · Sham Kakade
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Poster
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Tue 18:30
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Voronoi Boundary Classification: A High-Dimensional Geometric Approach via Weighted Monte Carlo Integration
Vladislav Polianskii · Florian T. Pokorny
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Poster
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Thu 18:30
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Accelerated Flow for Probability Distributions
Amirhossein Taghvaei · Prashant Mehta
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Poster
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Tue 18:30
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Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error Bounds and Strong Consistency Rates
George Chen
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Poster
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Tue 18:30
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Rehashing Kernel Evaluation in High Dimensions
Paris Siminelakis · Kexin Rong · Peter Bailis · Moses Charikar · Philip Levis
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Poster
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Tue 18:30
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A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation
Ramin Raziperchikolaei · Harish Bhat
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