Yingbin Liang
Orcid: 0000-0002-8635-2992
According to our database1,
Yingbin Liang
authored at least 267 papers
between 2004 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Inf. Theory, September, 2024
Oper. Res. Lett., 2024
IEEE J. Sel. Areas Inf. Theory, 2024
CoRR, 2024
CoRR, 2024
Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis.
CoRR, 2024
Model Developmental Safety: A Safety-Centric Method and Applications in Vision-Language Models.
CoRR, 2024
CoRR, 2024
Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks.
CoRR, 2024
In-Context Learning with Representations: Contextual Generalization of Trained Transformers.
CoRR, 2024
A comparative study of generative adversarial networks for image recognition algorithms based on deep learning and traditional methods.
CoRR, 2024
CoRR, 2024
Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization.
CoRR, 2024
Non-asymptotic Convergence of Discrete-time Diffusion Models: New Approach and Improved Rate.
CoRR, 2024
AI Mag., 2024
Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning?
Proceedings of the Twenty-fifth International Symposium on Theory, 2024
Proceedings of the IEEE International Symposium on Information Theory, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Provably Efficient UCB-type Algorithms For Learning Predictive State Representations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
Trans. Mach. Learn. Res., 2023
J. Mach. Learn. Res., 2023
CoRR, 2023
Theoretical Hardness and Tractability of POMDPs in RL with Partial Hindsight State Information.
CoRR, 2023
Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Global Convergence of Two-Timescale Actor-Critic for Solving Linear Quadratic Regulator.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Self-Secure Capacity-Achieving Feedback Schemes of Gaussian Multiple-Access Wiretap Channels With Degraded Message Sets.
IEEE Trans. Inf. Forensics Secur., 2022
Mach. Learn., 2022
J. Mach. Learn. Res., 2022
CoRR, 2022
A Constrained Optimization Approach to Bilevel Optimization with Multiple Inner Minima.
CoRR, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks.
Proceedings of the 8th IEEE International Conference on Collaboration and Internet Computing, 2022
2021
Understanding Estimation and Generalization Error of Generative Adversarial Networks.
IEEE Trans. Inf. Theory, 2021
SIAM J. Math. Data Sci., 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Signal Process., 2020
IEEE Trans. Inf. Theory, 2020
J. Mach. Learn. Res., 2020
EURASIP J. Wirel. Commun. Netw., 2020
A Primal Approach to Constrained Policy Optimization: Global Optimality and Finite-Time Analysis.
CoRR, 2020
Provably Faster Algorithms for Bilevel Optimization and Applications to Meta-Learning.
CoRR, 2020
Enhanced First and Zeroth Order Variance Reduced Algorithms for Min-Max Optimization.
CoRR, 2020
Non-asymptotic Convergence Analysis of Two Time-scale (Natural) Actor-Critic Algorithms.
CoRR, 2020
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Feedback Capacity of Gaussian Multiple-Access Wiretap Channel with Degraded Message Sets.
Proceedings of the IEEE Information Theory Workshop, 2020
Proceedings of the International Symposium on Information Theory and Its Applications, 2020
Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 2020 IEEE International Conference on Communications, 2020
Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
IEEE Trans. Signal Process., 2019
IEEE Trans. Inf. Theory, 2019
IEEE Trans. Inf. Theory, 2019
A note on inexact gradient and Hessian conditions for cubic regularized Newton's method.
Oper. Res. Lett., 2019
CoRR, 2019
CoRR, 2019
Comput. Optim. Appl., 2019
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the IEEE International Symposium on Information Theory, 2019
Proceedings of the IEEE International Symposium on Information Theory, 2019
Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization.
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
IEEE Trans. Signal Process., 2018
IEEE Trans. Inf. Theory, 2018
IEEE Trans. Inf. Theory, 2018
State-Dependent Gaussian Multiple Access Channels: New Outer Bounds and Capacity Results.
IEEE Trans. Inf. Theory, 2018
IEEE J. Sel. Top. Signal Process., 2018
Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters.
J. Mach. Learn. Res., 2018
SpiderBoost: A Class of Faster Variance-reduced Algorithms for Nonconvex Optimization.
CoRR, 2018
Parallel Gaussian Channels Corrupted by Independent States With a State-Cognitive Helper.
CoRR, 2018
Sample Complexity of Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization.
CoRR, 2018
Generalization Error Bounds with Probabilistic Guarantee for SGD in Nonconvex Optimization.
CoRR, 2018
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
Critical Points of Linear Neural Networks: Analytical Forms and Landscape Properties.
Proceedings of the 6th International Conference on Learning Representations, 2018
Exponentially Consistent K-Means Clustering Algorithm Based on Kolmogrov-Smirnov Test.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018
2017
IEEE Trans. Signal Process., 2017
IEEE Trans. Inf. Theory, 2017
IEEE Trans. Inf. Theory, 2017
IEEE Trans. Commun., 2017
A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow and Incremental Algorithms.
J. Mach. Learn. Res., 2017
CoRR, 2017
Characterization of Gradient Dominance and Regularity Conditions for Neural Networks.
CoRR, 2017
Nonconvex Low-Rank Matrix Recovery with Arbitrary Outliers via Median-Truncated Gradient Descent.
CoRR, 2017
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
Secrecy capacity of the first-order autoregressive moving average Gaussian channel with feedback.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 IEEE Conference on Communications and Network Security, 2017
2016
Nonparametric Decentralized Detection and Sparse Sensor Selection Via Weighted Kernel.
IEEE Trans. Signal Process., 2016
IEEE Trans. Inf. Theory, 2016
IEEE Trans. Inf. Theory, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 2016 IEEE Information Theory Workshop, 2016
Proceedings of the IEEE International Symposium on Information Theory, 2016
Proceedings of the IEEE International Symposium on Information Theory, 2016
Proceedings of the IEEE International Symposium on Information Theory, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Geometrical properties and accelerated gradient solvers of non-convex phase retrieval.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016
Proceedings of the 54th Annual Allerton Conference on Communication, 2016
On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
IEEE Trans. Inf. Theory, 2015
IEEE Trans. Inf. Theory, 2015
IEEE Trans. Inf. Theory, 2015
IEEE Trans. Inf. Theory, 2015
IEEE Trans. Commun., 2015
Broadcast Networks With Layered Decoding and Layered Secrecy: Theory and Applications.
Proc. IEEE, 2015
Secure Communications via Physical-Layer and Information-Theoretic Techniques [Scanning the Issue].
Proc. IEEE, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the 2015 IEEE Information Theory Workshop, 2015
Rate splitting and sharing for degraded broadcast channel with secrecy outside a bounded range.
Proceedings of the IEEE International Symposium on Information Theory, 2015
Proceedings of the IEEE International Symposium on Information Theory, 2015
Proceedings of the IEEE International Symposium on Information Theory, 2015
Proceedings of the IEEE International Symposium on Information Theory, 2015
Proceedings of the 6th ACM Conference on Bioinformatics, 2015
2014
The Capacity Region of the Source-Type Model for Secret Key and Private Key Generation.
IEEE Trans. Inf. Theory, 2014
Proceedings of the 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2014
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
Sparse sensor selection for nonparametric decentralized detection via L1 regularization.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
Proceedings of the 2014 IEEE Information Theory Workshop, 2014
Proceedings of the 2014 IEEE Information Theory Workshop, 2014
Proceedings of the International Symposium on Information Theory and its Applications, 2014
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
State-dependent parallel Gaussian channels with a common helper in high power regime.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014
2013
Sharp Threshold for Multivariate Multi-Response Linear Regression via Block Regularized Lasso.
CoRR, 2013
Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013
State-dependent Gaussian Z-channel with mismatched side-information and interference.
Proceedings of the 2013 IEEE Information Theory Workshop, 2013
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013
2012
IEEE Trans. Inf. Forensics Secur., 2012
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
2011
Fading Multiple Access Relay Channels: Achievable Rates and Opportunistic Scheduling.
IEEE Trans. Inf. Theory, 2011
IEEE Trans. Inf. Theory, 2011
IEEE Trans. Inf. Theory, 2011
IEEE Trans. Inf. Theory, 2011
Secure Communications Over Wireless Broadcast Networks: Stability and Utility Maximization.
IEEE Trans. Inf. Forensics Secur., 2011
Distributed Cognitive Radio Network Management via Algorithms in Probabilistic Graphical Models.
IEEE J. Sel. Areas Commun., 2011
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
Proceedings of the 49th Annual Allerton Conference on Communication, 2011
Proceedings of the 49th Annual Allerton Conference on Communication, 2011
Proceedings of the 49th Annual Allerton Conference on Communication, 2011
2010
Optimality of beamforming for MIMO multiple access channels via virtual representation.
IEEE Trans. Signal Process., 2010
Multiple-Input Multiple-Output Gaussian Broadcast Channels With Common and Confidential Messages.
IEEE Trans. Inf. Theory, 2010
Proceedings of the IEEE International Symposium on Information Theory, 2010
Proceedings of the 48th Annual Allerton Conference on Communication, 2010
2009
IEEE Trans. Inf. Theory, 2009
Outer Bounds on the Admissible Source Region for Broadcast Channels with Dependent Sources
CoRR, 2009
Proceedings of the IEEE International Symposium on Information Theory, 2009
Proceedings of the IEEE International Symposium on Information Theory, 2009
Proceedings of the 47th Annual Allerton Conference on Communication, 2009
2008
Proceedings of the IEEE 19th International Symposium on Personal, 2008
Proceedings of the IEEE 19th International Symposium on Personal, 2008
Proceedings of the 2008 IEEE Information Theory Workshop, 2008
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008
Proceedings of the 46th Annual Allerton Conference on Communication, 2008
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008
2007
IEEE Trans. Inf. Theory, 2007
Proceedings of the IEEE Information Theory Workshop on Information Theory for Wireless Networks, 2007
Proceedings of the IEEE International Symposium on Information Theory, 2007
Proceedings of the IEEE International Symposium on Information Theory, 2007
2006
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006
Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006
2005
IEEE Trans. Inf. Theory, 2005
IEEE Trans. Inf. Theory, 2005
2004
IEEE Trans. Inf. Theory, 2004
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004