Thesys-lab / learned-coded-computationLinks
Code for paper "Learning a Code: Machine Learning for Approximate Non-Linear Coded-Computation"
☆11Updated 5 years ago
Alternatives and similar repositories for learned-coded-computation
Users that are interested in learned-coded-computation are comparing it to the libraries listed below
Sorting:
- Implementation of the SuRP algorithm by the authors of the AISTATS 2022 paper "An Information-Theoretic Justification for Model Pruning".…☆14Updated 3 years ago
- LearnedSketch: Learning-Based Frequency Estimation Algorithms (ICLR 2019)☆32Updated 2 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated 2 years ago
- [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…☆15Updated 4 years ago
- Companion codes for the paper "Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems", accepted by IEEE TAC☆12Updated 8 years ago
- [ICML 2019] A Robust Meta-Algorithm for Stochastic Optimization☆30Updated 5 years ago
- Code for testing DCT plus Sparse (DCTpS) networks☆14Updated 4 years ago
- Constrained episodic reinforcement learning in concave-convex and knapsack settings☆11Updated 2 years ago
- tvopt is a prototyping and benchmarking Python framework for time-varying (or online) optimization.☆14Updated 2 years ago
- AIMS South Africa Short Course on Optimization☆18Updated last year
- Difference-of-Entropies (DoE) Estimator☆26Updated 3 years ago
- ☆16Updated last year
- Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)☆37Updated 6 years ago
- Peking University Convex Optimization Course given by Professor Wen Zaiwen☆11Updated 8 years ago
- Source code for the Joint Shapley values: a measure of joint feature importance☆13Updated 4 years ago
- A Library for Minimax Risk Classifiers☆31Updated 3 weeks ago
- Code for the paper "Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation" by Alexander Levine and Soheil Feizi.☆10Updated 3 years ago
- noiseless/nonnegative sparse recovery and feature retrieval via compressed sensing☆39Updated 7 years ago
- Multi Task Learning Package for Matlab☆21Updated 6 years ago
- MmWave channel modeling repository☆23Updated 5 years ago
- Code for Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent☆10Updated 5 years ago
- Source code for the ACML 2019 paper "Functional Isolation Forest".☆20Updated 3 years ago
- Code for "Adaptive Gradient Quantization for Data-Parallel SGD", published in NeurIPS 2020.☆30Updated 4 years ago
- Code for the signSGD paper☆92Updated 5 years ago
- Connecting Interpretability and Robustness in Decision Trees through Separation☆16Updated 4 years ago
- ☆13Updated 5 years ago
- Research prototype of deletion efficient k-means algorithms☆24Updated 6 years ago
- ☆12Updated 4 years ago
- ☆21Updated 5 years ago
- [ICML 2023] Decentralized SGD and Average-direction SAM are Asymptotically Equivalent☆20Updated 2 years ago