IBM / ZOSVRG-BlackBox-Adv
ZOSVRG-BlackBox-Adv
☆11Updated 6 years ago
Alternatives and similar repositories for ZOSVRG-BlackBox-Adv:
Users that are interested in ZOSVRG-BlackBox-Adv are comparing it to the libraries listed below
- Zeroth-order Min-max Optimization☆11Updated 4 years ago
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆70Updated 4 years ago
- Minimax Optimization, Stackelberg Games, Generative Adversarial Networks☆18Updated 4 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 6 years ago
- Code for the signSGD paper☆81Updated 4 years ago
- Public code for a paper "Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks."☆34Updated 6 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆32Updated 4 years ago
- Lua implementation of Entropy-SGD☆81Updated 6 years ago
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆17Updated 5 years ago
- An implementation of the Hogwild! algorithm for asynchronous SGD that interfaces with sci-kit learn.☆20Updated 4 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆26Updated 3 years ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆17Updated 5 years ago
- ☆57Updated last year
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Limitations of the Empirical Fisher Approximation☆46Updated 4 years ago
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆41Updated 5 years ago
- pyhessian is a TensorFlow module which can be used to estimate Hessian matrices☆24Updated 3 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆48Updated 3 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆53Updated 3 months ago
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆26Updated 5 months ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Updated 6 years ago
- ☆82Updated 5 years ago
- Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)☆35Updated 5 years ago
- PyTorch implementation of FIM and empirical FIM☆58Updated 6 years ago
- CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883☆20Updated 3 years ago
- ☆22Updated 5 years ago
- Geometric Certifications of Neural Nets☆41Updated 2 years ago