ifiaposto / Distance_Aware_BottleneckLinks
Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024
☆28Updated 9 months ago
Alternatives and similar repositories for Distance_Aware_Bottleneck
Users that are interested in Distance_Aware_Bottleneck are comparing it to the libraries listed below
Sorting:
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 3 years ago
- Large-scale uncertainty benchmark in deep learning.☆60Updated last month
- [CLeaR23] Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning☆30Updated 2 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- Deep Learning & Information Bottleneck☆60Updated last year
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆67Updated 2 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- Simple (and cheap!) neural network uncertainty estimation☆66Updated last month
- ☆17Updated 9 months ago
- Quantile risk minimization☆24Updated 10 months ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆34Updated last year
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆66Updated 7 months ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆36Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 3 weeks ago
- Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.☆25Updated last year
- (ICML 2023) Feature learning in deep classifiers through Intermediate Neural Collapse: Accompanying code☆15Updated last year
- This repository contains an official implementation of LPBNN.☆38Updated last year
- Code for experiments on transformers using Markovian data.☆15Updated 7 months ago
- Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Lear…☆53Updated 2 years ago
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- ☆15Updated last year
- Benchmark and analysis of 165 pretrained SSL models. Code for "Evaluating Self-Supervised Learning via Risk Decomposition".☆15Updated last year
- ☆15Updated 2 years ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆24Updated 2 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆66Updated 2 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 4 years ago
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆23Updated last year
- A package for conformal prediction with conditional guarantees.☆58Updated 4 months ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 2 years ago