liangzp / LDP-Bandit
This repository contains codes for paper: Generalized Linear Bandits with Local Differential Privacy by Yuxuan Han, Zhipeng Liang, Yang Wang, and Jiheng Zhang.
☆16Updated 3 years ago
Alternatives and similar repositories for LDP-Bandit:
Users that are interested in LDP-Bandit are comparing it to the libraries listed below
- ☆31Updated 3 years ago
- ☆30Updated 4 years ago
- Differentially Private Clustering in High-Dimensional Euclidean Spaces☆12Updated 7 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆45Updated last year
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆47Updated 3 years ago
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago
- Convex optimizers for LASSO, including subgradient, project gradient, proximal gradient, smooth method, lagrangian method and stochastic …☆41Updated 6 years ago
- ☆34Updated 5 years ago
- Study NeuralUCB and regret analysis for contextual bandit with neural decision☆92Updated 3 years ago
- Code for the paper "Smart 'Predict, then Optimize'"☆72Updated 7 months ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆45Updated last year
- Code for the paper "Quantifying Privacy Leakage in Graph Embedding" published in MobiQuitous 2020☆15Updated 3 years ago
- Implementations of differentially private release mechanisms for graph statistics☆21Updated 2 years ago
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆33Updated 6 years ago
- Learning rate adaptation for differentially private stochastic gradient descent☆16Updated 3 years ago
- ☆10Updated last year
- Experiments for distributed optimization algorithms☆72Updated last year
- Dynamic Pricing BwK Problem and Reinforcement Learning☆29Updated 6 years ago
- ☆20Updated 5 years ago
- Applying differential privacy to movie recommendation system to guarantee the privacy of individual user ratings.☆11Updated 7 years ago
- ☆9Updated last year
- Codes for Stackelberg GAN☆13Updated 5 years ago
- Code for the NeurIPS 2020 paper: "Federated Bayesian Optimization via Thompson Sampling"☆25Updated 4 years ago
- Implementation of an efficient variant of SVRG that relies on mini-batching implemented in Pytorch☆26Updated 6 years ago
- Accuracy and fairness trade-offs: A stochastic multi-objective approach☆10Updated 3 years ago
- A collection of the pytorch implementation of neural bandit algorithm includes neuralUCB(Neural Contextual Bandits with UCB-based Explora…☆13Updated 2 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆46Updated 6 years ago
- [NeurIPS 2020] Simple and practical private mean and covariance estimation.☆35Updated 4 years ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆63Updated 2 years ago
- Benchmark for bi-level optimization solvers☆43Updated 3 months ago