bohanli / 36705-Intermediate-Stat
36-705 Intermediate Statistics, Fall 2017 - CMU Statistics
☆39Updated 7 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
- ☆26Updated 9 years ago
- ICLR2020 Downloader & Search Tool☆18Updated 5 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆64Updated 6 years ago
- PyTorch code for meta seq2seq learning☆43Updated 5 years ago
- MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders☆23Updated 5 years ago
- Paper Reading☆73Updated 6 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆44Updated 6 years ago
- Explore OpenReview papers for ICLR (with citation counts, acceptance status, and ratings)!☆86Updated 3 years ago
- SparseMAP: differentiable sparse structure inference☆111Updated 6 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆48Updated 5 years ago
- ☆24Updated 8 years ago
- Experiments with binary LSTM using gumbel-sigmoid☆30Updated 4 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 5 years ago
- Notes for ICML 2019☆38Updated 5 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- A Course on Mathematical Theories of Deep Learning☆79Updated 4 years ago
- Active Imitation Learing with Noisy Guidance☆10Updated 4 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆28Updated 5 years ago
- Learning and Reasoning with Graph-Structured Data (ICML 2019 Workshop)☆26Updated 5 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 6 years ago
- Repo for the EACL2017 tutorial on imitation learning☆28Updated 7 years ago
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Updated 4 years ago
- ☆25Updated 6 years ago
- LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs☆41Updated last year
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- DIY setup for virtual teaching on ubuntu☆39Updated 4 years ago
- ☆65Updated 6 months ago
- Gromov-Wasserstein Alignment of Embeddings☆65Updated 3 years ago