This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).
☆55Jun 21, 2021Updated 4 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 4 years ago
- This is the source code for Maximum Mean Discrepancy Test is Aware of Adversarial Attacks (ICML2021).☆20Aug 19, 2022Updated 3 years ago
- Reproducibility code for MMD Aggregated Two-Sample Test, by Schrab, Kim, Albert, Laurent, Guedj and Gretton: https://arxiv.org/abs/2110.1…☆17May 31, 2024Updated last year
- Source code for ICLR 2022 paper "Meta Discovery: Learning to Discover Novel Classes given Very Limited Data".☆17Jan 14, 2024Updated 2 years ago
- source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training☆11Apr 28, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- incremental symbol learning for natural language understanding☆10Jun 12, 2023Updated 2 years ago
- ☆22May 16, 2022Updated 4 years ago
- UAI 2020. Kernel goodness-of-fit tests for conditional density models.☆10Jul 27, 2020Updated 5 years ago
- AutoML Two-Sample Test☆19Aug 3, 2022Updated 3 years ago
- ☆39Jul 30, 2024Updated last year
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Nov 27, 2022Updated 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
- [KDD 2022] "Bilateral Dependency Optimization: Defending Against Model-inversion Attacks"☆24Sep 11, 2025Updated 8 months ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Jul 11, 2019Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Source code for ICML2021 Paper - Learning Bounds for Open-set Learning☆35Jul 17, 2021Updated 4 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 8 years ago
- Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"☆10Jan 22, 2024Updated 2 years ago
- Learning generative models with Sinkhorn Loss☆31Nov 9, 2018Updated 7 years ago
- A PyTorch library for two-sample tests☆243Nov 12, 2025Updated 6 months ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆38Sep 6, 2021Updated 4 years ago
- Learning kernels to maximize the power of MMD tests☆210Jan 11, 2018Updated 8 years ago
- VGrow for deep generative learning☆12Feb 1, 2019Updated 7 years ago
- ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language☆15Jul 4, 2019Updated 6 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.
- The Concept Bottleneck Shift Detection (CBSD) methods for explaining and detecting various dataset shifts.☆14Jun 22, 2021Updated 4 years ago
- Research repo for reinforcement learning–based deep hedging of SPX & SPY options☆20Dec 8, 2025Updated 5 months ago
- ☆17Sep 20, 2020Updated 5 years ago
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆24Nov 18, 2019Updated 6 years ago
- [NeurIPS 2024 Oral] "Bayesian-Guided Label Mapping for Visual Reprogramming"☆12Dec 20, 2024Updated last year
- Official Tensorflow Code for the paper "Overcomplete Deep Subspace Clustering Networks" - WACV 2021☆13Nov 23, 2020Updated 5 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
- An implementation of Squared Earth-Mover's Distance loss for Neural Networks.☆14Mar 25, 2023Updated 3 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.
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆176Mar 16, 2018Updated 8 years ago
- Public code for a paper "Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks."☆35Dec 18, 2018Updated 7 years ago
- Latent optimal transport (LOT) for low rank transport and clustering☆20Jul 22, 2021Updated 4 years ago
- The Tornado framework, designed and implemented for adaptive online learning and data stream mining in Python.☆130Oct 31, 2023Updated 2 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Oct 5, 2021Updated 4 years ago
- Python implementation of smooth optimal transport.☆60May 5, 2021Updated 5 years ago
- Codes for "Understanding MCMC Dynamics as Flows on the Wasserstein Space" (ICML-19)☆11Nov 17, 2019Updated 6 years ago