Pinned Repositories
AutoEq
Automatic headphone equalization from frequency responses
cuda-mapreduce
DIffUCO
DIFUSCO
Code of NeurIPS paper: arxiv.org/abs/2302.08224
discs
DISCS: The code base for the Benchmark for Discrete Sampling
Generalization_Bounds_PAC_BAYES
GFlowNet-CombOpt
PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets".
modern-bayes
Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science
Multi-Analyst-DP
pacbayes-opt
Optimizing PAC-Bayes bounds for Stochastic Neural Networks with Gaussian weights
yikai-wu's Repositories
yikai-wu/Multi-Analyst-DP
yikai-wu/AutoEq
Automatic headphone equalization from frequency responses
yikai-wu/cuda-mapreduce
yikai-wu/DIffUCO
yikai-wu/DIFUSCO
Code of NeurIPS paper: arxiv.org/abs/2302.08224
yikai-wu/discs
DISCS: The code base for the Benchmark for Discrete Sampling
yikai-wu/Generalization_Bounds_PAC_BAYES
yikai-wu/GFlowNet-CombOpt
PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets".
yikai-wu/modern-bayes
Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science
yikai-wu/pacbayes-opt
Optimizing PAC-Bayes bounds for Stochastic Neural Networks with Gaussian weights
yikai-wu/PBB
PAC-Bayes with Backprop - Tighter risk certificates for neural networks
yikai-wu/pgdl
Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning
yikai-wu/PyHessian
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
yikai-wu/quanta-discovery
Exploring "quanta" of LLM capabilities and computational internals
yikai-wu/yikai-wu.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics