edoliberty / frequent-directions-experiments
Contains matrix sketching algorithms in python
☆16Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for frequent-directions-experiments
- This is all the codes used in "Large Scale Online Kernel Learning"☆11Updated 7 years ago
- Implementation for "Classification from Pairwise Similarity and Unlabeled Data"☆27Updated 4 years ago
- ☆9Updated 7 years ago
- ☆40Updated last year
- ☆24Updated 4 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆57Updated 7 years ago
- Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"☆33Updated 6 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆101Updated 4 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 5 years ago
- ☆42Updated 6 years ago
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Updated 7 years ago
- ☆19Updated last year
- Experiments with binary LSTM using gumbel-sigmoid☆30Updated 4 years ago
- Feature Interaction Interpretability via Interaction Detection☆34Updated last year
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 4 years ago
- TensorFlow implementation of Deep Graph Infomax☆63Updated 6 years ago
- ☆13Updated 6 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆27Updated 4 years ago
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆40Updated 2 years ago
- PyTorch implementation of nonsymmetric determinantal point process (DPP) learning.☆23Updated last year
- Implementation of SBM-meet-GNN☆22Updated 5 years ago
- A Python implementation of Kernel Mean Matching data reweighting algorithm☆33Updated 8 years ago
- Source code of the neural Hawkes particle smoothing (ICML 2019)☆42Updated 5 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 4 years ago
- This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".☆14Updated 5 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 6 years ago
- Semi supervised learning on graphs☆35Updated 7 years ago
- ☆17Updated 5 years ago
- Determinantal point process☆18Updated 9 years ago
- ☆44Updated 5 years ago