Weihao Gao
11 papers · 2016–2023 · 6 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(10)
Optimization & Theory Β· Machine Learning
(7)
Mathematics & Optimization
(5)
Mathematics
(5)
Deep Learning
(4)
Core Methods
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Core AI
(3)
Learning Types
(3)
Optimization & Theory Β· Deep Learning
(2)
Data Science & Analytics
(1)
Architectures
(1)
Methods
(1)
Models
(1)
Keywords
entropy estimation
(3)
information theory
(3)
mutual information
(3)
information bottleneck
(2)
model compression
(2)
rate distortion
(2)
molecular dynamics
(2)
kernel methods
(2)
probability distribution
(1)
statistical testing
(1)
density estimation
(1)
nearest neighbor
(1)
loss landscape
(1)
nonparametric estimation
(1)
stochastic gradient descent
(1)
conditional dependence
(1)
differential entropy
(1)
neural network optimization
(1)
kernel density estimation
(1)
statistical hypothesis testing
(1)
Papers
Machine Learning Force Fields with Data Cost Aware Training
ICML 2023
Label Leakage and Protection in Two-party Split Learning
ICLR 2022
PathFlow: A normalizing flow generator that finds transition paths
UAI 2022
Information-Theoretic Understanding of Population Risk Improvement with Model Compression
AAAI 2020
Learning One-hidden-layer Neural Networks under General Input Distributions
AISTATS 2019
Rate Distortion For Model Compression:From Theory To Practice
ICML 2019
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal
NeurIPS 2018
Discovering Potential Correlations via Hypercontractivity
NeurIPS 2017
Estimating Mutual Information for Discrete-Continuous Mixtures
NeurIPS 2017
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation
NeurIPS 2016
Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications
ICML 2016