Tianbao Yang
Orcid: 0000-0002-7858-5438
According to our database1,
Tianbao Yang
authored at least 229 papers
between 2009 and 2024.
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Bibliography
2024
Which LLMs are Difficult to Detect? A Detailed Analysis of Potential Factors Contributing to Difficulties in LLM Text Detection.
CoRR, 2024
CoRR, 2024
On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning.
CoRR, 2024
CoRR, 2024
Model Developmental Safety: A Safety-Centric Method and Applications in Vision-Language Models.
CoRR, 2024
FastCLIP: A Suite of Optimization Techniques to Accelerate CLIP Training with Limited Resources.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Single-loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions.
CoRR, 2024
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Trans. Mach. Learn. Res., 2023
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning.
J. Mach. Learn. Res., 2023
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition.
J. Mach. Learn. Res., 2023
ALEXR: Optimal Single-Loop Algorithms for Convex Finite-Sum Coupled Compositional Stochastic Optimization.
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness.
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
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
Proceedings of the Machine Learning for Health, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization.
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
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Remote. Sens., 2022
Weakly-convex-concave min-max optimization: provable algorithms and applications in machine learning.
Optim. Methods Softw., 2022
CoRR, 2022
CoRR, 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
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
J. Mach. Learn. Res., 2021
Comput. Stat. Data Anal., 2021
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities.
CoRR, 2021
CoRR, 2021
Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence.
CoRR, 2021
Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity.
CoRR, 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 Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
High-dimensional model recovery from random sketched data by exploring intrinsic sparsity.
Mach. Learn., 2020
J. Parallel Distributed Comput., 2020
A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints.
J. Mach. Learn. Res., 2020
Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification.
CoRR, 2020
Nearly Optimal Robust Method for Convex Compositional Problems with Heavy-Tailed Noise.
CoRR, 2020
Fast Objective and Duality Gap Convergence for Non-convex Strongly-concave Min-max Problems.
CoRR, 2020
Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives.
CoRR, 2020
Sharp Analysis of Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization.
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
Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints.
Proceedings of the 37th International Conference on Machine Learning, 2020
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets.
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Mach. Learn., 2019
J. Mach. Learn. Res., 2019
CoRR, 2019
Learning with Long-term Remembering: Following the Lead of Mixed Stochastic Gradient.
CoRR, 2019
Stochastic Primal-Dual Algorithms with Faster Convergence than O(1/√T) for Problems without Bilinear Structure.
CoRR, 2019
AI Matters, 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
Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence.
Proceedings of the 36th International Conference on Machine Learning, 2019
Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number.
Proceedings of the 36th International Conference on Machine Learning, 2019
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions.
Proceedings of the 7th International Conference on Learning Representations, 2019
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018
J. Mach. Learn. Res., 2018
CoRR, 2018
Non-Convex Min-Max Optimization: Provable Algorithms and Applications in Machine Learning.
CoRR, 2018
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching.
CoRR, 2018
An Aggressive Genetic Programming Approach for Searching Neural Network Structure Under Computational Constraints.
CoRR, 2018
A Machine Learning Approach for Air Quality Prediction: Model Regularization and Optimization.
Big Data Cogn. Comput., 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time.
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 Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Improving Sequential Determinantal Point Processes for Supervised Video Summarization.
Proceedings of the Computer Vision - ECCV 2018, 2018
How Local Is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization.
Proceedings of the Computer Vision - ECCV 2018, 2018
An Indirect-Direct event-triggered mechanism for networked control system against DoS attacks.
Proceedings of the 2018 Australian & New Zealand Control Conference (ANZCC), 2018
A Simple Analysis for Exp-concave Empirical Minimization with Arbitrary Convex Regularizer.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
Proceedings of the Domain Adaptation in Computer Vision Applications., 2017
Distributed Stochastic Variance Reduced Gradient Methods by Sampling Extra Data with Replacement.
J. Mach. Learn. Res., 2017
Stochastic Non-convex Optimization with Strong High Probability Second-order Convergence.
CoRR, 2017
Empirical Risk Minimization for Stochastic Convex Optimization: O(1/n)- and O(1/n<sup>2</sup>)-type of Risk Bounds.
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Adaptive Accelerated Gradient Converging Method under H\"{o}lderian Error Bound Condition.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
A Richer Theory of Convex Constrained Optimization with Reduced Projections and Improved Rates.
Proceedings of the 34th International Conference on Machine Learning, 2017
Stochastic Convex Optimization: Faster Local Growth Implies Faster Global Convergence.
Proceedings of the 34th International Conference on Machine Learning, 2017
Empirical Risk Minimization for Stochastic Convex Optimization: $O(1/n)$- and $O(1/n^2)$-type of Risk Bounds.
Proceedings of the 30th Conference on Learning Theory, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Optimal Stochastic Strongly Convex Optimization with a Logarithmic Number of Projections.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient.
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Sparse Learning for Large-Scale and High-Dimensional Data: A Randomized Convex-Concave Optimization Approach.
Proceedings of the Algorithmic Learning Theory - 27th International Conference, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Doubly Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization with Factorized Data.
CoRR, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 2015 International Conference on Healthcare Informatics, 2015
Hyper-class augmented and regularized deep learning for fine-grained image classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Encyclopedia of Social Network Analysis and Mining, 2014
IEEE Trans. Inf. Theory, 2014
Mach. Learn., 2014
Extracting Certainty from Uncertainty: Transductive Pairwise Classification from Pairwise Similarities.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
IEEE Trans. Inf. Theory, 2013
CoRR, 2013
Trading Computation for Communication: Distributed Stochastic Dual Coordinate Ascent.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013
O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions.
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the COLT 2013, 2013
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013
2012
Trading regret for efficiency: online convex optimization with long term constraints.
J. Mach. Learn. Res., 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound.
Proceedings of the 29th International Conference on Machine Learning, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
Detecting communities and their evolutions in dynamic social networks - a Bayesian approach.
Mach. Learn., 2011
CoRR, 2011
Proceedings of the 1st International Conference on Multimedia Retrieval, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
2010
Proceedings of the SIAM International Conference on Data Mining, 2010
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010
2009
Proceedings of the UAI 2009, 2009
A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks.
Proceedings of the SIAM International Conference on Data Mining, 2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009