Lin Chen
62 papers · 2010–2026 · 16 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 17 separate collaboration groups - the largest holds only 26% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Lin Chen?
9 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Amin Karbasi, Mingrui Zhang, Hamed Hassani
15 papers
· 2016–2021
· AISTATS, NeurIPS, ICML
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Meta Learning in the Continuous Time Limit
AISTATS 2021
Multiple Descent: Design Your Own Generalization Curve
NeurIPS 2021
The curious case of adversarially robust models: More data can help, double descend, or hurt generalization
UAI 2021
Black Box Submodular Maximization: Discrete and Continuous Settings
AISTATS 2020
Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition
NeurIPS 2020
More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models
ICML 2020
Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free
AISTATS 2020
Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback
NeurIPS 2019
Projection-Free Bandit Convex Optimization
AISTATS 2019
Comparison Based Learning from Weak Oracles
AISTATS 2018
Online Continuous Submodular Maximization
AISTATS 2018
Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity
ICML 2018
Weakly Submodular Maximization Beyond Cardinality Constraints: Does Randomization Help Greedy?
ICML 2018
Interactive Submodular Bandit
NeurIPS 2017
Estimating the Size of a Large Network and its Communities from a Random Sample
NeurIPS 2016
8 papers whose co-authors appear nowhere else under this name
CoMA-SLAM: Collaborative Multi-Agent Gaussian SLAM with Geometric Consistency
AAAI 2026
Ensemble Learned Bloom Filters: Two Oracles are Better than One
ICML 2025
MMEgo: Towards Building Egocentric Multimodal LLMs for Video QA
ICLR 2025
Federated Learning with Extremely Noisy Clients via Negative Distillation
AAAI 2024
VulnerabilityMap: An Open Framework for Mapping Vulnerability among Urban Disadvantaged Populations in the United States
IJCAI 2024
Acceleration of Large Transformer Model Training by Sensitivity-Based Layer Dropping
AAAI 2023
Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS
ICLR 2021
Youling: an AI-assisted Lyrics Creation System
EMNLP 2020