random projection

Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections JMLR 2020 Differentially Private Small Dataset Release Using Random Projections UAI 2020 Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality ICLR 2020 Gaussian Sketching yields a J-L Lemma in RKHS AISTATS 2020 Improved Subsampled Randomized Hadamard Transform for Linear SVM AAAI 2020 Improving Neural Network Training in Low Dimensional Random Bases NeurIPS 2020 Kernel Methods Through the Roof: Handling Billions of Points Efficiently NeurIPS 2020 Learning sparse codes from compressed representations with biologically plausible local wiring constraints NeurIPS 2020 Local Binary Pattern Networks WACV 2020 Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform NeurIPS 2020 Precise expressions for random projections: Low-rank approximation and randomized Newton NeurIPS 2020 Private Outsourced Bayesian Optimization ICML 2020 Randomized tests for high-dimensional regression: A more efficient and powerful solution NeurIPS 2020 Randomly Projected Additive Gaussian Processes for Regression ICML 2020 Random Projections and α-Shape to Support the Kernel Design (Student Abstract) AAAI 2020 Sparse Projection Oblique Randomer Forests JMLR 2020 Statistical and Topological Properties of Sliced Probability Divergences NeurIPS 2020 Tensorized Random Projections AISTATS 2020 Unsupervised Representation Learning by Predicting Random Distances IJCAI 2020 Asymptotics for Sketching in Least Squares Regression NeurIPS 2019 AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation IJCAI 2019 Bayesian Batch Active Learning as Sparse Subset Approximation NeurIPS 2019 Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data ICML 2019 Dimension-Free Error Bounds from Random Projections AAAI 2019 Don't take it lightly: Phasing optical random projections with unknown operators NeurIPS 2019