Co-occurring keywords · papers mentioning both
Papers
Sparse Embedded k-Means Clustering
NeurIPS 2017
Structured adaptive and random spinners for fast machine learning computations
AISTATS 2017
An algorithm for L1 nearest neighbor search via monotonic embedding
NeurIPS 2016
A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares
JMLR 2016
Beyond Parity Constraints: Fourier Analysis of Hash Functions for Inference
ICML 2016
Binary embeddings with structured hashed projections
ICML 2016
DUAL-LOCO: Distributing Statistical Estimation Using Random Projections
AISTATS 2016
Efficient Private Empirical Risk Minimization for High-dimensional Learning
ICML 2016
How to Fake Multiply by a Gaussian Matrix
ICML 2016
Quantized Random Projections and Non-Linear Estimation of Cosine Similarity
NeurIPS 2016
Scalable Adaptive Stochastic Optimization Using Random Projections
NeurIPS 2016
The Multiscale Laplacian Graph Kernel
NeurIPS 2016
Tight Variational Bounds via Random Projections and I-Projections
AISTATS 2016
Variational Bayes on Monte Carlo Steroids
NeurIPS 2016
A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data
ICML 2015
A Hybrid Approach for Probabilistic Inference using Random Projections
ICML 2015
A New Look at Nearest Neighbours: Identifying Benign Input Geometries via Random Projections
ACML 2015
Bilinear Random Projections for Locality-Sensitive Binary Codes
CVPR 2015
Compressive spectral embedding: sidestepping the SVD
NeurIPS 2015
Fast and Accurate Head Pose Estimation via Random Projection Forests
ICCV 2015
Non-asymptotic Analysis of Compressive Fisher Discriminants in terms of the Effective Dimension
ACML 2015
On the Complexity of Learning with Kernels
COLT 2015
Tensor Factorization via Matrix Factorization
AISTATS 2015
Circulant Binary Embedding
ICML 2014
Coding for Random Projections
ICML 2014