gnobitab / MultiObjectiveSampling
☆15Updated 3 years ago
Alternatives and similar repositories for MultiObjectiveSampling:
Users that are interested in MultiObjectiveSampling are comparing it to the libraries listed below
- Distributional and Outlier Robust Optimization (ICML 2021)☆26Updated 3 years ago
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"☆21Updated 3 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆47Updated 3 years ago
- ☆23Updated 4 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆26Updated 3 years ago
- ☆58Updated last year
- ☆31Updated 2 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆67Updated 3 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 5 years ago
- [ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.☆41Updated 2 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 4 years ago
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆12Updated 3 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆39Updated 4 years ago
- ☆49Updated 3 years ago
- Code for the paper Adaptive Auxiliary Task Weighting for Reinforcement Learning☆25Updated 4 years ago
- code for Stein Neural Sampler☆22Updated 6 years ago
- [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…☆15Updated 3 years ago
- This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?☆12Updated last year
- A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)☆14Updated 4 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆44Updated last year
- Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization☆32Updated 4 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Updated 2 years ago
- ☆15Updated 4 years ago
- A Pytorch implementation of the KWNG estimator☆14Updated 6 months ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Updated 6 years ago
- This is the project for IRM methods☆12Updated 3 years ago
- ☆20Updated 4 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- We define and estimate smooth unique information of samples with respect to classifier weights and predictions. We compute these quantiti…☆11Updated 3 years ago