Weihao Kong
19 papers · 2012–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Academic Marathon (12)
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Academic Marathon
(12)
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Cross-Pollinator
(13)
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Renaissance Researcher
(6)
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Triple Crown
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Keyword Champion
(2)
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Trend Setter
π₯
Unstoppable
(8)
ποΈ
Keyword Collector
(91)
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Century Club
(19)
Conferences
NIPS (9)
ICML (5)
AISTATS (2)
COLT (2)
ICLR (1)
Top co-authors
Research topics
Keywords
differential privacy
(5)
linear regression
(5)
robust estimation
(3)
robust statistics
(3)
mixed linear regression
(2)
adversarial robustness
(2)
dimensionality reduction
(2)
principal component analysis
(2)
spectral method
(2)
binomial distribution
(2)
parameter estimation
(2)
sample complexity
(2)
earth mover distance
(2)
model selection
(1)
reinforcement learning
(1)
feature learning
(1)
quantization
(1)
multi-task learning
(1)
robust optimization
(1)
convex optimization
(1)
Papers
Linear Regression using Heterogeneous Data Batches
NIPS 2024
A decoder-only foundation model for time-series forecasting
ICML 2024
Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract
COLT 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
NIPS 2023
Differential privacy and robust statistics in high dimensions
COLT 2022
Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model
NIPS 2022
DP-PCA: Statistically Optimal and Differentially Private PCA
NIPS 2022
SPECTRE: defending against backdoor attacks using robust statistics
ICML 2021
Online Model Selection for Reinforcement Learning with Function Approximation
AISTATS 2021
Robust and differentially private mean estimation
NIPS 2021
Sublinear Optimal Policy Value Estimation in Contextual Bandits
AISTATS 2020
Robust Meta-learning for Mixed Linear Regression with Small Batches
NIPS 2020
Meta-learning for Mixed Linear Regression
ICML 2020
Maximum Likelihood Estimation for Learning Populations of Parameters
ICML 2019
Estimating Learnability in the Sublinear Data Regime
NIPS 2018
Learning Populations of Parameters
NIPS 2017
Isotropic Hashing
NIPS 2012