Tianyi Lin
Orcid: 0000-0002-5323-1852
According to our database1,
Tianyi Lin
authored at least 57 papers
between 2014 and 2024.
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Bibliography
2024
IEEE Wirel. Commun., June, 2024
CoRR, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
PhD thesis, 2023
J. Mach. Learn. Res., 2023
Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient Feedback.
CoRR, 2023
CoRR, 2023
PPO-Based Energy-Efficient Power Control and Spectrum Allocation in In-Vehicle HetNets.
Proceedings of the IEEE Global Communications Conference, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
2022
Math. Program., 2022
J. Mach. Learn. Res., 2022
J. Mach. Learn. Res., 2022
J. Mach. Learn. Res., 2022
Explicit Second-Order Min-Max Optimization Methods with Optimal Convergence Guarantee.
CoRR, 2022
Understanding Performance of Long-Document Ranking Models through Comprehensive Evaluation and Leaderboarding.
CoRR, 2022
CoRR, 2022
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization.
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
Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Optim. Methods Softw., 2021
CoRR, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
A Unified Adaptive Tensor Approximation Scheme to Accelerate Composite Convex Optimization.
SIAM J. Optim., 2020
Revisiting Fixed Support Wasserstein Barycenter: Computational Hardness and Efficient Algorithms.
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 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the Conference on Learning Theory, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Proceedings of the 2020 American Control Conference, 2020
2019
CoRR, 2019
Global Error Bounds and Linear Convergence for Gradient-Based Algorithms for Trend Filtering and 𝓁<sub>1</sub>-Convex Clustering.
CoRR, 2019
Structured nonconvex and nonsmooth optimization: algorithms and iteration complexity analysis.
Comput. Optim. Appl., 2019
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
On Efficient Optimal Transport: An Analysis of Greedy and Accelerated Mirror Descent Algorithms.
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization.
IEEE Trans. Autom. Control., 2018
Global Convergence of Unmodified 3-Block ADMM for a Class of Convex Minimization Problems.
J. Sci. Comput., 2018
On the iteration complexity analysis of Stochastic Primal-Dual Hybrid Gradient approach with high probability.
Neurocomputing, 2018
Stochastic Primal-Dual Proximal ExtraGradient descent for compositely regularized optimization.
Neurocomputing, 2018
CoRR, 2018
2017
Exploiting interactions of review text, hidden user communities and item groups, and time for collaborative filtering.
Knowl. Inf. Syst., 2017
Found. Comput. Math., 2017
2016
Iteration Complexity Analysis of Multi-block ADMM for a Family of Convex Minimization Without Strong Convexity.
J. Sci. Comput., 2016
On Stochastic Primal-Dual Hybrid Gradient Approach for Compositely Regularized Minimization.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016
Understanding Sparse Topical Structure of Short Text via Stochastic Variational-Gibbs Inference.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
SIAM J. Optim., 2015
2014
Proceedings of the 23rd International World Wide Web Conference, 2014
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
Collaborative Filtering Incorporating Review Text and Co-clusters of Hidden User Communities and Item Groups.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014