Topic: aistats Goto Github
Some thing interesting about aistats
Some thing interesting about aistats
aistats,Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
Organization: aaltoml
aistats,April 13-15, Virtual Conference
Organization: aistats
Home Page: http://aistats.org/aistats2021
aistats,Training Implicit Generative Models via an Invariant statistical loss (ISL)
User: josemanuel22
Home Page: https://josemanuel22.github.io/ISL/
aistats,AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
Organization: malllabiisc
aistats,AISTATS 2019: Lovรกsz Convolutional Networks
Organization: malllabiisc
aistats,PyTorch implementation for " Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference" (https://arxiv.org/abs/1810.02555).
User: mhw32
aistats,Code for our AISTATS '22 paper: Improving Attribution Methods by Learning Submodular Functions.
User: piyushi-0
Home Page: https://piyushi-0.github.io/SEA-NN/
aistats,A near-optimal exact sampler for discrete probability distributions
Organization: probsys
aistats,DPE code - Code used in "Optimal Algorithms for Multiplayer Multi-Armed Bandits" (AISTATS 2020)
User: rssalessio
aistats,Download papers and supplemental materials from open-access paper website, such as AAAI, AISTATS, COLT, CORL, CVPR, ECCV, ICCV, ICLR, ICML, IJCAI, JMLR, NIPS, RSS, WACV.
User: silenceeagle
aistats,For deep RL and the future of AI.
User: tigerneil
aistats,Spectral Tensor Train Parameterization of Deep Learning Layers
User: toshas
Home Page: https://www.obukhov.ai/sttp
aistats, This is a collection of papers and other resources related to fairness.
User: yongkaiwu
Home Page: https://yongkaiwu.github.io/FairAI/
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