dair-iitd / dl-with-constraints
Code for experiments in 'Primal Dual Formulation For Deep Learning With Constraints'
☆21Updated 4 years ago
Related projects: ⓘ
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆44Updated last year
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 2 years ago
- Adaptive gradient descent without descent☆44Updated 2 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆57Updated last year
- [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…☆15Updated 2 years ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 2 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated last year
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆23Updated 6 years ago
- Code for Stochastic Hyperparameter Optimization through Hypernetworks☆23Updated 6 years ago
- Minimax Optimization, Stackelberg Games, Generative Adversarial Networks☆18Updated 4 years ago
- Tensorflow code for "Hierarchical Decompositional Mixtures of Variational Autoencoders" (ICML'19)☆12Updated 4 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆40Updated 3 years ago
- ☆19Updated 4 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆44Updated 4 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆39Updated 2 weeks ago
- NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning☆35Updated 2 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated last year
- Code for the paper Gaussian process behaviour in wide deep networks☆48Updated 6 years ago
- Tensorflow implementation of the `intelligent synapse' model from [Zenke et al., (2017)] and application to the Permuted MNIST benchmark.☆21Updated 7 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- ☆20Updated 5 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆24Updated 2 years ago
- ☆15Updated 4 years ago
- ☆13Updated 5 years ago
- A Pytorch implementation of the KWNG estimator☆14Updated last month
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆33Updated 4 years ago
- Natural Gradient, Variational Inference☆28Updated 4 years ago
- This repository contains the Julia code for the paper "Competitive Gradient Descent"☆23Updated 4 years ago