Lin Chen

Affiliations:
  • Yale University, New Haven, Connecticut, USA
  • Peking University, China


According to our database1, Lin Chen authored at least 38 papers between 2013 and 2021.

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Bibliography

2021
The curious case of adversarially robust models: More data can help, double descend, or hurt generalization.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Multiple Descent: Design Your Own Generalization Curve.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Meta Learning in the Continuous Time Limit.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models.
Proceedings of the 37th International Conference on Machine Learning, 2020

Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Black Box Submodular Maximization: Discrete and Continuous Settings.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Quantized Frank-Wolfe: Communication-Efficient Distributed Optimization.
CoRR, 2019

Heterogeneous Coexistence of Cognitive Radio Networks in TV White Space.
CoRR, 2019

Unconstrained submodular maximization with constant adaptive complexity.
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019

Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Projection-Free Bandit Convex Optimization.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Accurate Location Tracking From CSI-Based Passive Device-Free Probabilistic Fingerprinting.
IEEE Trans. Veh. Technol., 2018

On heterogeneous duty cycles for neighbor discovery in wireless sensor networks.
Ad Hoc Networks, 2018

Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity.
Proceedings of the 35th International Conference on Machine Learning, 2018

Weakly Submodular Maximization Beyond Cardinality Constraints: Does Randomization Help Greedy?
Proceedings of the 35th International Conference on Machine Learning, 2018

Enabling Symbiotic Coexistence of Heterogeneous Cognitive Radio Networks.
Proceedings of the 2018 IEEE International Symposium on Dynamic Spectrum Access Networks, 2018

Early Detection of Rumors in Heterogeneous Mobile Social Network.
Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

Comparison Based Learning from Weak Oracles.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Online Continuous Submodular Maximization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Submodular Variational Inference for Network Reconstruction.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Interactive Submodular Bandit.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Dynamic Slot-Length Control for Reducing Neighbor Discovery Latency in Wireless Sensor Networks.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Dimension Coupling: Optimal Active Learning of Halfspaces via Query Synthesis.
CoRR, 2016

Skolem Sequence Based Self-Adaptive Broadcast Protocol in Cognitive Radio Networks.
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

Estimating the Size of a Large Network and its Communities from a Random Sample.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

On diffusion-restricted social network: A measurement study of WeChat moments.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

Influence Maximization in Messenger-Based Social Networks.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Multichannel Broadcast Via Channel Hopping in Cognitive Radio Networks.
IEEE Trans. Veh. Technol., 2015

On heterogeneous neighbor discovery in wireless sensor networks.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

TapLock: Exploit finger tap events for enhancing attack resilience of smartphone passwords.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

Optimizing average-maximum TTR trade-off for cognitive radio rendezvous.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

Reading between lines: high-rate, non-intrusive visual codes within regular videos via ImplicitCode.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

2014
Addressing the Hidden Terminal Problem for Heterogeneous Coexistence Between TDM and CSMA Networks in White Space.
IEEE Trans. Veh. Technol., 2014

A group-theoretic framework for rendezvous in heterogeneous cognitive radio networks.
Proceedings of the Fifteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2014

2013
On the cascading spectrum contention problem in self-coexistence of cognitive radio networks.
Proceedings of the 1st ACM workshop on Cognitive radio architectures for broadband, 2013


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