bohanli / 36705-Intermediate-Stat
36-705 Intermediate Statistics, Fall 2017 - CMU Statistics
☆38Updated 6 years ago
Alternatives and similar repositories for 36705-Intermediate-Stat:
Users that are interested in 36705-Intermediate-Stat are comparing it to the libraries listed below
- Weekly reading group on Graphs at Mila☆31Updated 5 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆63Updated 6 years ago
- Paper Reading☆73Updated 6 years ago
- ☆26Updated 9 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- ICLR2020 Downloader & Search Tool☆18Updated 5 years ago
- A Course on Mathematical Theories of Deep Learning☆79Updated 4 years ago
- 💭 CS598 / IE534: Deep Learning in Fall 2018, University of Illinois at Urbana-Champaign☆0Updated 5 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆119Updated 5 years ago
- MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders☆23Updated 5 years ago
- Variational inference for Gaussian mixture models☆34Updated 11 years ago
- ☆42Updated 6 years ago
- Keras implementation of Deep Wasserstein Embeddings☆47Updated 6 years ago
- PyTorch code for meta seq2seq learning☆43Updated 5 years ago
- Convolutional Neural Tangent Kernel☆108Updated 5 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Off the convex path☆67Updated last year
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆136Updated 5 years ago
- A Toolkit for Training, Tracking, Saving Models and Syncing Results☆60Updated 4 years ago
- Explore OpenReview papers for ICLR (with citation counts, acceptance status, and ratings)!☆86Updated 3 years ago
- paper lists and information on mean-field theory of deep learning☆75Updated 5 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 7 years ago
- ☆50Updated last year
- ☆26Updated 5 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 6 years ago
- Deep Weighted Averaging Classifiers☆23Updated 5 years ago
- SparseMAP: differentiable sparse structure inference☆111Updated 5 years ago