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