Zhenye-Na / deep-learning-uiuc
π CS598 / IE534: Deep Learning in Fall 2018, University of Illinois at Urbana-Champaign
β0Updated 5 years ago
Alternatives and similar repositories for deep-learning-uiuc:
Users that are interested in deep-learning-uiuc are comparing it to the libraries listed below
- Code accompanying our paper at AISTATS 2020β21Updated 4 years ago
- β13Updated 6 years ago
- CEVAE with VampPriorβ11Updated 6 years ago
- Some notes on ML papers/methodsβ14Updated 5 years ago
- Implementation of provably Rawlsian fair ML algorithms for contextual bandits.β14Updated 7 years ago
- PyTorch implementation of nonsymmetric determinantal point process (DPP) learning.β23Updated last year
- A Pytorch implementation of "Deep Learning with Logged Bandit Feedback"β10Updated 6 years ago
- Causal inference for recommendationβ23Updated 5 years ago
- 36-705 Intermediate Statistics, Fall 2017 - CMU Statisticsβ38Updated 6 years ago
- Code for "Using Embeddings to Correct for Unobserved Confounding"β10Updated 5 years ago
- Code and data for the experiments in "On Fairness and Calibration"β50Updated 2 years ago
- β12Updated 6 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018β22Updated 5 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"β19Updated 9 years ago
- Accelerated Confergence for Counterfactual Learning to Rankβ16Updated 2 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoderβ¦β17Updated 4 years ago
- Batch IS NOT Heavy: Learning Word Representations From All Samplesβ10Updated 6 years ago
- Train poincare embedding using gensimβ19Updated 6 years ago
- β16Updated 3 years ago
- Context Selection for Embedding Modelsβ27Updated 7 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018β22Updated 6 years ago
- A simple Tensorflow implementation of https://arxiv.org/abs/1906.04985β13Updated 5 years ago
- Code for the paper "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" at ICML 2019.β20Updated 5 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributionsβ10Updated 6 years ago
- Experiments of ACL 2018 paper box embeddingsβ32Updated 6 years ago
- Weekly reading group on Graphs at Milaβ31Updated 5 years ago
- β16Updated 4 years ago
- Bayesian nonparametric models for pythonβ17Updated 6 years ago
- Bayesian non-parametric algorithm for clustering data based on the Chinese Restaurant Process.β25Updated 4 years ago