Yaoliang Yu

CoRR, 2020

DeepAntigen: a novel method for neoantigen prioritization via 3D genome and deep sparse learning.

[BibT_eX]

[DOI]

Bioinform., 2020

Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Unsupervised Multilingual Alignment using Wasserstein Barycenter.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Stronger and Faster Wasserstein Adversarial Attacks.

[BibT_eX]

[DOI]

Kaiwen Wu

Allen Houze Wang

Proceedings of the 37th International Conference on Machine Learning, 2020

Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space.

[BibT_eX]

[DOI]

Yingyi Ma

Vignesh Ganapathiraman

Proceedings of the 37th International Conference on Machine Learning, 2020

Tails of Lipschitz Triangular Flows.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Convergence of Gradient Methods on Bilinear Zero-Sum Games.

[BibT_eX]

[DOI]

Guojun Zhang

Rodrigo Frassetto Nogueira

Proceedings of the 8th International Conference on Learning Representations, 2020

Early Exiting BERT for Efficient Document Ranking.

[BibT_eX]

[DOI]

Ji Xin

Jimmy Lin

Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020

On Minimax Optimality of GANs for Robust Mean Estimation.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Showing Your Work Doesn't Always Work.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Exploiting Token and Path-based Representations of Code for Identifying Security-Relevant Commits.

[BibT_eX]

[DOI]

CoRR, 2019

Convergence Behaviour of Some Gradient-Based Methods on Bilinear Games.

[BibT_eX]

[DOI]

Guojun Zhang

CoRR, 2019

Understanding Adversarial Robustness: The Trade-off between Minimum and Average Margin.

[BibT_eX]

[DOI]

Kaiwen Wu

CoRR, 2019

Tails of Triangular Flows.

[BibT_eX]

[DOI]

CoRR, 2019

Distributional Reinforcement Learning for Efficient Exploration.

[BibT_eX]

[DOI]

CoRR, 2019

Multivariate Triangular Quantile Maps for Novelty Detection.

[BibT_eX]

[DOI]

Jingjing Wang

Sun Sun

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Distributional Reinforcement Learning for Efficient Exploration.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Sum-of-Squares Polynomial Flow.

[BibT_eX]

[DOI]

Priyank Jaini

Kira A. Selby

Proceedings of the 36th International Conference on Machine Learning, 2019

What Part of the Neural Network Does This? Understanding LSTMs by Measuring and Dissecting Neurons.

[BibT_eX]

[DOI]

Ji Xin

Jimmy Lin

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Least Squares Estimation of Weakly Convex Functions.

[BibT_eX]

[DOI]

Sun Sun

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2018

Deep Homogeneous Mixture Models: Representation, Separation, and Approximation.

[BibT_eX]

[DOI]

Priyank Jaini

Pascal Poupart

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Inductive Two-layer Modeling with Parametric Bregman Transfer.

[BibT_eX]

[DOI]

Vignesh Ganapathiraman

Zhan Shi

Proceedings of the 35th International Conference on Machine Learning, 2018

Orpheus: Efficient Distributed Machine Learning via System and Algorithm Co-design.

[BibT_eX]

[DOI]

Proceedings of the ACM Symposium on Cloud Computing, 2018

2017

Semantic Pooling for Complex Event Analysis in Untrimmed Videos.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Generalized Conditional Gradient for Sparse Estimation.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

Provably noise-robust, regularised k-means clustering.

[BibT_eX]

[DOI]

CoRR, 2017

Convex-constrained Sparse Additive Modeling and Its Extensions.

[BibT_eX]

[DOI]

Junming Yin

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction.

[BibT_eX]

[DOI]

Zhan Shi

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

Robust Top-k Multiclass SVM for Visual Category Recognition.

[BibT_eX]

[DOI]

Xiaojun Chang

Yi Yang

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Learning Latent Space Models with Angular Constraints.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Dropout with Expectation-linear Regularization.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Efficient Multiple Instance Metric Learning Using Weakly Supervised Data.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Online Learning and Optimization.

[BibT_eX]

[DOI]

Encyclopedia of Algorithms, 2016

Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Convex Two-Layer Modeling with Latent Structure.

[BibT_eX]

[DOI]

Vignesh Ganapathiraman

Junfeng Wen

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Additive Approximations in High Dimensional Nonparametric Regression via the SALSA.

[BibT_eX]

[DOI]

Kirthevasan Kandasamy

Proceedings of the 33nd International Conference on Machine Learning, 2016

Closed-Form Training of Mahalanobis Distance for Supervised Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

They are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Scalable and Sound Low-Rank Tensor Learning.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Petuum: A New Platform for Distributed Machine Learning on Big Data.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2015

Distributed Machine Learning via Sufficient Factor Broadcasting.

[BibT_eX]

[DOI]

CoRR, 2015

Searching Persuasively: Joint Event Detection and Evidence Recounting with Limited Supervision.

[BibT_eX]

[DOI]

Xiaojun Chang

Yi Yang

Alexander G. Hauptmann

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Linear Time Samplers for Supervised Topic Models using Compositional Proposals.

[BibT_eX]

[DOI]

Xun Zheng

Eric P. Xing

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Semantic Concept Discovery for Large-Scale Zero-Shot Event Detection.

[BibT_eX]

[DOI]

Xiaojun Chang

Yi Yang

Alexander G. Hauptmann

Eric P. Xing

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

Minimizing Nonconvex Non-Separable Functions.

[BibT_eX]

[DOI]

Xun Zheng

Micol Marchetti-Bowick

Eric P. Xing

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Efficient Structured Matrix Rank Minimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Polar Operators for Structured Sparse Estimation.

[BibT_eX]

[DOI]

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

Better Approximation and Faster Algorithm Using the Proximal Average.

[BibT_eX]

[DOI]

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

On Decomposing the Proximal Map.

[BibT_eX]

[DOI]

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

Characterizing the Representer Theorem.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Accelerated Training for Matrix-norm Regularization: A Boosting Approach.

[BibT_eX]

[DOI]

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

A Polynomial-time Form of Robust Regression.

[BibT_eX]

[DOI]

Özlem Aslan

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

Convex Multi-view Subspace Learning.

[BibT_eX]

[DOI]

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

Analysis of Kernel Mean Matching under Covariate Shift.

[BibT_eX]

[DOI]

Csaba Szepesvári

Proceedings of the 29th International Conference on Machine Learning, 2012

Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Distance metric learning by minimal distance maximization.

[BibT_eX]

[DOI]

Jiayan Jiang

Liming Zhang

Pattern Recognit., 2011

Rank/Norm Regularization with Closed-Form Solutions: Application to Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the UAI 2011, 2011

Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Relaxed Clipping: A Global Training Method for Robust Regression and Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

A General Projection Property for Distribution Families.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2007

Extensions of Manifold Learning Algorithms in Kernel Feature Space.

[BibT_eX]

[DOI]