Weihao Kong
19 papers · 2012–2024 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
π§
Keyword Pioneer
π¬
Deep Specialist
(10)
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Triple Crown
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
ποΈ
Keyword Collector
(106)
π
Trend Setter
π
Renaissance Researcher
(6)
Top co-authors
Research topics
Machine Learning
(19)
Core Methods
(15)
Optimization & Theory
(14)
Learning Types
(7)
Artificial Intelligence
(6)
Mathematics & Optimization
(6)
Application Areas
(5)
Optimization
(4)
Security & Privacy
(3)
Core AI
(3)
Differential Privacy
(3)
Learning Paradigms Β· Artificial Intelligence
(3)
Mathematics
(3)
Deep Learning
(2)
Learning Paradigms Β· Machine Learning
(2)
Keywords
linear regression
(5)
differential privacy
(5)
sample complexity
(4)
robust estimation
(3)
robust statistics
(3)
adversarial robustness
(2)
mixed linear regression
(2)
dimensionality reduction
(2)
earth mover distance
(2)
principal component analysis
(2)
binomial distribution
(2)
mean estimation
(2)
parameter estimation
(2)
spectral method
(2)
model selection
(1)
reinforcement learning
(1)
feature learning
(1)
quantization
(1)
multi-task learning
(1)
robust optimization
(1)
Papers
A decoder-only foundation model for time-series forecasting
ICML 2024
Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract
COLT 2024
Linear Regression using Heterogeneous Data Batches
NeurIPS 2024
Transformers can optimally learn regression mixture models
ICLR 2024
Efficient List-Decodable Regression using Batches
ICML 2023
Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency
NeurIPS 2023
Differential privacy and robust statistics in high dimensions
COLT 2022
DP-PCA: Statistically Optimal and Differentially Private PCA
NeurIPS 2022
Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model
NeurIPS 2022
Online Model Selection for Reinforcement Learning with Function Approximation
AISTATS 2021
Robust and differentially private mean estimation
NeurIPS 2021
SPECTRE: defending against backdoor attacks using robust statistics
ICML 2021
Meta-learning for Mixed Linear Regression
ICML 2020
Robust Meta-learning for Mixed Linear Regression with Small Batches
NeurIPS 2020
Sublinear Optimal Policy Value Estimation in Contextual Bandits
AISTATS 2020
Maximum Likelihood Estimation for Learning Populations of Parameters
ICML 2019
Estimating Learnability in the Sublinear Data Regime
NeurIPS 2018
Learning Populations of Parameters
NeurIPS 2017
Isotropic Hashing
NeurIPS 2012