Yiwen Kou
9 papers · 2022–2025 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (24) π Cross-Pollinator (14) π Renaissance Researcher (5) π Interdisciplinary Bridge π§ Keyword Pioneer
π
Conference Polyglot
(4)
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Hot Topic Early Bird
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Triple Crown
β
The Questioner
(2)
Conferences
NIPS (5)
ICML (2)
AISTATS (1)
ICLR (1)
Top co-authors
Keywords
neural network optimization
(3)
gradient descent
(3)
neural network
(2)
stochastic gradient descent
(1)
certified robustness
(1)
adversarial robustness
(1)
feature learning
(1)
machine translation
(1)
text generation
(1)
multimodal learning
(1)
sample complexity
(1)
visual reasoning
(1)
sharpness-aware minimization
(1)
computational complexity
(1)
loss landscape
(1)
visual question answering
(1)
label noise
(1)
zero-shot learning
(1)
optimization theory
(1)
representation learning
(1)
Papers
On the Power of Multitask Representation Learning with Gradient Descent
AISTATS 2025
Matching the Statistical Query Lower Bound for $k$-Sparse Parity Problems with Sign Stochastic Gradient Descent
NIPS 2024
GraphVis: Boosting LLMs with Visual Knowledge Graph Integration
NIPS 2024
Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time
NIPS 2024
Benign Overfitting in Two-layer ReLU Convolutional Neural Networks
ICML 2023
Why Does Sharpness-Aware Minimization Generalize Better Than SGD?
NIPS 2023
How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study
ICLR 2023
Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data
NIPS 2023
Certified Adversarial Robustness Under the Bounded Support Set
ICML 2022