dh7401 / T-CalLinks
☆10Updated 3 years ago
Alternatives and similar repositories for T-Cal
Users that are interested in T-Cal are comparing it to the libraries listed below
Sorting:
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- Post-processing for fair classification☆17Updated last month
- csl: PyTorch-based Constrained Learning☆12Updated 3 years ago
- Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"☆13Updated 3 years ago
- Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.☆9Updated 5 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆68Updated 8 months ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆18Updated last year
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 2 years ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆13Updated last year
- Influence Estimation for Gradient-Boosted Decision Trees☆29Updated last year
- ☆15Updated 2 years ago
- Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)☆22Updated last year
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 4 years ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆22Updated 3 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated last year
- Code for AAAI 2020 paper "Ensembles of Locally Independent Prediction Models"☆8Updated 5 years ago
- ☆15Updated 2 years ago
- ☆14Updated 5 years ago
- A simple Jax implementation of influence functions.☆17Updated last year
- Benchmark and analysis of 165 pretrained SSL models. Code for "Evaluating Self-Supervised Learning via Risk Decomposition".☆15Updated 2 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 3 years ago
- Code for testing DCT plus Sparse (DCTpS) networks☆14Updated 4 years ago
- ☆33Updated 3 years ago
- Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)☆21Updated 2 years ago
- Distilling Model Failures as Directions in Latent Space☆47Updated 2 years ago
- This repository is the implementation of Deep Dirichlet Process Mixture Models (UAI 2022)☆13Updated 3 years ago
- ☆12Updated 2 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆34Updated 2 years ago
- Explanation Optimization☆13Updated 4 years ago
- Deep Learning & Information Bottleneck☆61Updated 2 years ago