aistats
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Training Implicit Generative Models via an Invariant statistical loss (ISL)
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Mar 6, 2024 - Julia
For deep RL and the future of AI.
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Mar 1, 2024 - HTML
A near-optimal exact sampler for discrete probability distributions
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Feb 25, 2024 - C
Code for our AISTATS '22 paper: Improving Attribution Methods by Learning Submodular Functions.
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Nov 5, 2023 - Jupyter Notebook
Spectral Tensor Train Parameterization of Deep Learning Layers
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Jul 1, 2021 - Python
DPE code - Code used in "Optimal Algorithms for Multiplayer Multi-Armed Bandits" (AISTATS 2020)
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Jul 10, 2020 - Python
AISTATS 2019: Lovász Convolutional Networks
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May 22, 2019 - Python
AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
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May 22, 2019 - Python
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
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Apr 20, 2019 - Jupyter Notebook
PyTorch implementation for " Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference" (https://arxiv.org/abs/1810.02555).
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Dec 29, 2018 - Python
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