Co-occurring keywords · papers mentioning both
Papers
Generalization Error Analysis of Quantized Compressive Learning
NeurIPS 2019
Random mesh projectors for inverse problems
ICLR 2019
Random Projection in Neural Episodic Control
ACML 2019
Random Projections and Sampling Algorithms for Clustering of High-Dimensional Polygonal Curves
NeurIPS 2019
Random Projections with Asymmetric Quantization
NeurIPS 2019
Sharp Theoretical Analysis for Nonparametric Testing under Random Projection
COLT 2019
Sign-Full Random Projections
AAAI 2019
Tight Dimensionality Reduction for Sketching Low Degree Polynomial Kernels
NeurIPS 2019
Towards Clustering High-dimensional Gaussian Mixture Clouds in Linear Running Time
AISTATS 2019
Understanding Sparse JL for Feature Hashing
NeurIPS 2019
An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering
ACML 2018
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces
IJCAI 2018
Fully Understanding The Hashing Trick
NeurIPS 2018
Generative Modeling Using the Sliced Wasserstein Distance
CVPR 2018
High-dimensional Similarity Learning via Dual-sparse Random Projection
IJCAI 2018
Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch
NeurIPS 2018
Network Approximation using Tensor Sketching
IJCAI 2018
Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization
IJCAI 2018
Compressed Least Squares Regression revisited
AISTATS 2017
Minimax rates for cost-sensitive learning on manifolds with approximate nearest neighbours
ALT 2017
Near Optimal Sketching of Low-Rank Tensor Regression
NeurIPS 2017
Random projection design for scalable implicit smoothing of randomly observed stochastic processes
AISTATS 2017
Random Projection Filter Bank for Time Series Data
NeurIPS 2017
Simple strategies for recovering inner products from coarsely quantized random projections
NeurIPS 2017
Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data
AISTATS 2017