joneswack / dp-rfsView external linksLinks
This repository contains PyTorch implementations of various random feature maps for dot product kernels.
☆22Jul 13, 2024Updated last year
Alternatives and similar repositories for dp-rfs
Users that are interested in dp-rfs are comparing it to the libraries listed below
Sorting:
- ☆33Apr 12, 2021Updated 4 years ago
- Demonstration of the UPGMA hierarchal clustering algorithm in Pandas, Seaborn, and Scipy☆11Sep 29, 2019Updated 6 years ago
- Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"☆13May 8, 2019Updated 6 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Oct 21, 2022Updated 3 years ago
- ☆10Mar 11, 2022Updated 3 years ago
- ☆13Jun 21, 2021Updated 4 years ago
- Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants☆16Nov 30, 2025Updated 2 months ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Oct 22, 2024Updated last year
- 🧮 Algebraic Positional Encodings.☆18Aug 20, 2025Updated 5 months ago
- Codes for Hilbert space reduced-rank GP regression☆15Jul 30, 2019Updated 6 years ago
- Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"☆16Feb 24, 2025Updated 11 months ago
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆17Feb 9, 2024Updated 2 years ago
- Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization☆15Sep 30, 2022Updated 3 years ago
- [TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy☆20Jul 17, 2025Updated 6 months ago
- ☆42Sep 20, 2022Updated 3 years ago
- Fast and Modularized CFG-focused Models☆23Nov 8, 2023Updated 2 years ago
- Code for the paper "Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving"☆19May 25, 2023Updated 2 years ago
- Implementations of growing and pruning in neural networks☆22Jul 26, 2023Updated 2 years ago
- Lightweight Python package for generating classification intervals in binary classification tasks using Pearson residuals and conformal p…☆24Feb 7, 2026Updated last week
- Bayesian Optimization with Density-Ratio Estimation☆24Dec 26, 2022Updated 3 years ago
- NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle☆21Dec 23, 2022Updated 3 years ago
- ☆23Jan 25, 2024Updated 2 years ago
- Joint entropy search☆21Dec 7, 2022Updated 3 years ago
- Exploring the space of drug combinations to discover synergistic drugs using Active Learning☆24Aug 13, 2024Updated last year
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆26Oct 28, 2021Updated 4 years ago
- Official implementation of Fisher-Flow Matching (NeurIPS 2024).☆36Oct 23, 2024Updated last year
- Implementation of Insertion-deletion Denoising Diffusion Probabilistic Models☆30May 31, 2022Updated 3 years ago
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Apr 17, 2024Updated last year
- ☆29Oct 3, 2022Updated 3 years ago
- Bayesian optimization with conformal coverage guarantees☆29Oct 28, 2022Updated 3 years ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆27Feb 3, 2020Updated 6 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆25Feb 2, 2022Updated 4 years ago
- Code for "BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition"☆32Jun 20, 2023Updated 2 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆26Sep 15, 2025Updated 4 months ago
- Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model☆103Oct 29, 2024Updated last year
- Learning motif contributions to cell transitions using sequence features and graphs.☆28Aug 30, 2024Updated last year
- My Implementation of Q-Sparse: All Large Language Models can be Fully Sparsely-Activated☆33Aug 14, 2024Updated last year
- Code for experiments to learn uncertainty☆30Mar 16, 2023Updated 2 years ago
- Cost-aware Bayesian optimization via the Pandora's box Gittins index☆14Aug 8, 2025Updated 6 months ago