← Authors

Lin Xiao

36 papers · 2009–2025 · 9 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (16) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15) πŸ—ΊοΈ Taxonomy Completionist (52) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🐺 Lone Wolf (3) πŸ”¬ Deep Specialist (17) πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (155) πŸ“ˆ Trend Setter πŸ’Ž Century Club (36) πŸ”₯ Unstoppable (7) ⚑ Prolific Year (7)

Conferences

NIPS (10) ICML (9) JMLR (6) AAAI (3) ACL (2) EMNLP (2) ICLR (2) ACML (1) IJCNLP (1)

Top co-authors

Liping Jing (8) Jianshu Chen (5) Xin Huang (4) Boli Chen (4) Qihang Lin (3) Mingyang Song (3) Bo Dai (3) Lihong Li (3) Junyu Zhang (3) Ji He (2)

Keywords

stochastic optimization (7) convex optimization (6) convergence rate (4) empirical risk minimization (4) document representation (3) variance reduction (3) distributed optimization (3) multi-label text classification (3) sample complexity (3) stochastic gradient descent (3) linear convergence (3) nonconvex optimization (3) strong convexity (3) multi-label classification (3) self-attention mechanism (2) coordinate descent (2) strongly convex (2) stochastic gradient (2) convergence analysis (2) latent dirichlet allocation (2)

Papers

Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games ICML 2025
PARQ: Piecewise-Affine Regularized Quantization ICML 2025
Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification AAAI 2023
Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies ICLR 2023
Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games ICLR 2023
On the Convergence Rates of Policy Gradient Methods JMLR 2022
BiT: Robustly Binarized Multi-distilled Transformer NIPS 2022
On Continual Model Refinement in Out-of-Distribution Data Streams ACL 2022
Federated Learning with Partial Model Personalization ICML 2022
Does Head Label Help for Long-Tailed Multi-Label Text Classification AAAI 2021
From Low Probability to High Confidence in Stochastic Convex Optimization JMLR 2021
Hybrid Summarization with Semantic Weighting Reward and Latent Structure Detector ACML 2021
Importance Estimation from Multiple Perspectives for Keyphrase Extraction EMNLP 2021
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization ICML 2020
Hyperbolic Interaction Model for Hierarchical Multi-Label Classification AAAI 2020
Hyperbolic Capsule Networks for Multi-Label Classification ACL 2020
DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization JMLR 2019
Label-Specific Document Representation for Multi-Label Text Classification EMNLP 2019
A Composite Randomized Incremental Gradient Method ICML 2019
Label-Specific Document Representation for Multi-Label Text Classification IJCNLP 2019
Understanding the Role of Momentum in Stochastic Gradient Methods NIPS 2019
A Stochastic Composite Gradient Method with Incremental Variance Reduction NIPS 2019
Using Statistics to Automate Stochastic Optimization NIPS 2019
Learning SMaLL Predictors NIPS 2018
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation ICML 2018
Coupled Variational Bayes via Optimization Embedding NIPS 2018
Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms ICML 2017
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization JMLR 2017
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes NIPS 2017
Stochastic Variance Reduction Methods for Policy Evaluation ICML 2017
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture NIPS 2015
An Accelerated Proximal Coordinate Gradient Method NIPS 2014
An Adaptive Accelerated Proximal Gradient Method and its Homotopy Continuation for Sparse Optimization ICML 2014
Optimal Distributed Online Prediction Using Mini-Batches JMLR 2012
Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization JMLR 2010
Dual Averaging Method for Regularized Stochastic Learning and Online Optimization NIPS 2009