This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).
☆57Jun 21, 2021Updated 5 years ago
Alternatives and similar repositories for DK-for-TST
Users that are interested in DK-for-TST are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆29Jun 18, 2021Updated 5 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Sep 24, 2020Updated 6 years ago
- Reproducibility code for MMD Aggregated Two-Sample Test, by Schrab, Kim, Albert, Laurent, Guedj and Gretton: https://arxiv.org/abs/2110.1…☆19May 31, 2024Updated 2 years ago
- MMDAgg package implementing the MMDAgg test proposed in MMD Aggregated Two-Sample Test by Schrab, Kim, Albert, Laurent, Guedj and Gretton…☆10May 31, 2024Updated 2 years ago
- Source code for ICLR 2022 paper "Meta Discovery: Learning to Discover Novel Classes given Very Limited Data".☆17Jan 14, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64May 13, 2018Updated 8 years ago
- source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training☆11Apr 28, 2022Updated 4 years ago
- incremental symbol learning for natural language understanding☆10Jun 12, 2023Updated 3 years ago
- UAI 2020. Kernel goodness-of-fit tests for conditional density models.☆10Jul 27, 2020Updated 6 years ago
- ☆22May 16, 2022Updated 4 years ago
- ☆11Jul 25, 2023Updated 3 years ago
- Code for the NeurIPS 2021 paper "Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes".☆10Oct 27, 2021Updated 4 years ago
- AutoML Two-Sample Test☆19Aug 3, 2022Updated 4 years ago
- [KDD 2022] "Bilateral Dependency Optimization: Defending Against Model-inversion Attacks"☆21Sep 11, 2025Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Feb 5, 2019Updated 7 years ago
- ☆12Nov 30, 2023Updated 2 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 8 years ago
- Learning generative models with Sinkhorn Loss☆32Nov 9, 2018Updated 7 years ago
- Scaled MMD GAN☆36Oct 30, 2019Updated 6 years ago
- Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"☆10Jan 22, 2024Updated 2 years ago
- The source code of "Empowering Language Understanding with Counterfactual Reasoning" (ACL'21)☆11Sep 3, 2021Updated 5 years ago
- A PyTorch library for two-sample tests☆245Nov 12, 2025Updated 11 months ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Oct 12, 2020Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- This repo contains source code and datasets used in code for Deep transfer learning enables lesion tracing of circulating tumor cells(CTC…☆12Jun 26, 2023Updated 3 years ago
- Learning kernels to maximize the power of MMD tests☆210Jan 11, 2018Updated 8 years ago
- HyFormer: Hybrid Transformer and CNN For Pixel-level Multispectral Image Classification☆16Feb 15, 2023Updated 3 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆26Dec 8, 2022Updated 3 years ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆38Sep 6, 2021Updated 5 years ago
- Uncertainty quantification using martingales for misspecified Gaussian processes☆10Feb 15, 2021Updated 5 years ago
- This repository contains a backend service for fetching VIX index futures data using the vix_index_futures.py library. The app.py script …☆13Mar 19, 2023Updated 3 years ago
- ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language☆16Jul 4, 2019Updated 7 years ago
- ☆17Sep 20, 2020Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- [NeurIPS 2024 Oral] "Bayesian-Guided Label Mapping for Visual Reprogramming"☆12Dec 20, 2024Updated last year
- python code for kernel methods☆42Dec 13, 2018Updated 7 years ago
- Tensorflow implementation of optimal transport (OT) with Sinkhorn algorithm.☆19Nov 5, 2019Updated 6 years ago
- MMD-GAN: Towards Deeper Understanding of Moment Matching Network☆203Aug 8, 2023Updated 3 years ago
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆41Dec 16, 2020Updated 5 years ago
- Statistics for high-dimensional data (homogeneity, sphericity, independence, spherical uniformity)☆19May 14, 2024Updated 2 years ago
- Comparative evaluation of image-to-image translation methods for stain transfer in histopathology☆29Feb 14, 2024Updated 2 years ago