An Bian

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All published works

Action	Title	Year	Authors
+	COLA: Communication-Efficient Decentralized Linear Learning	2018	Lie He An Bian Martin Jaggi
+	A Distributed Second-Order Algorithm You Can Trust	2018	Celestine Dünner Aurélien Lucchi Matilde Gargiani An Bian Thomas Hofmann Martin Jaggi
+	Optimal DR-Submodular Maximization and Applications to Provable Mean Field Inference	2018	An Bian Joachim M. Buhmann Andreas Krause
+	A Distributed Second-Order Algorithm You Can Trust	2018	Celestine Dünner Aurélien Lucchi Matilde Gargiani An Bian Thomas Hofmann Martin Jaggi
+	COLA: Decentralized Linear Learning	2018	Lie He An Bian Martin Jaggi
+	Non-monotone Continuous DR-submodular Maximization: Structure and Algorithms	2017	An Bian Kfir Y. Levy Andreas Krause Joachim M. Buhmann
+	Non-monotone Continuous DR-submodular Maximization: Structure and Algorithms	2017	An Bian Kfir Y. Levy Andreas Krause Joachim M. Buhmann
+	Continuous DR-submodular Maximization: Structure and Algorithms	2017	An Bian Kfir Y. Levy Andreas Krause Joachim M. Buhmann
+	Parallel Coordinate Descent Newton Method for Efficient $\ell_1$-Regularized Minimization	2013	An Bian Xiong Li Yuncai Liu Ming–Hsuan Yang

Common Coauthors

Coauthor	Papers Together
Joachim M. Buhmann	4
Andreas Krause	4
Martin Jaggi	4
Kfir Y. Levy	3
Matilde Gargiani	2
Lie He	2
Celestine Dünner	2
Thomas Hofmann	2
Aurélien Lucchi	2
Xiong Li	1
Ming–Hsuan Yang	1
Yuncai Liu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization	2018	Ching-pei Lee Cong Han Lim Stephen J. Wright	2
+	AIDE: Fast and Communication Efficient Distributed Optimization	2016	Sashank J. Reddi Jakub Konečný Peter Richtárik Barnabás Póczos Alexander J. Smola	2
+ PDF Chat	Distributed block-diagonal approximation methods for regularized empirical risk minimization	2019	Ching-pei Lee Kai-Wei Chang	2
+	HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent	2011	Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright	2
+	Parallelized Stochastic Gradient Descent	2010	Martin Zinkevich Markus Weimer Lihong Li Alex Smola	2
+ PDF Chat	EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization	2015	Wei Shi Qing Ling Gang Wu Wotao Yin	1
+ PDF Chat	Distributed Block Coordinate Descent for Minimizing Partially Separable Functions	2015	Jakub Mareček Peter Richtárik Martin Takáč	1
+ PDF Chat	On the Convergence of Decentralized Gradient Descent	2016	Kun Yuan Qing Ling Wotao Yin	1
+	DiSCO: Distributed Optimization for Self-Concordant Empirical Loss	2015	Yuchen Zhang Lin Xiao	1
+	Distributed coordinate descent method for learning with big data	2016	Peter Richtárik Martin Takáč	1
+ PDF Chat	Submodular Functions: from Discrete to Continous Domains	2018	Francis Bach	1
+	Adding vs. Averaging in Distributed Primal-Dual Optimization	2015	Chenxin Ma Virginia Smith Martin Jaggi Michael I. Jordan Peter Richtárik Martin Takáč	1
+	Stochastic methods for <i>l</i> <sub>1</sub> regularized loss minimization	2009	Shai Shalev‐Shwartz Ambuj Tewari	1
+	Newton's Method for Large Bound-Constrained Optimization Problems	1999	Chih‐Jen Lin Jorge J. Morè	1
+	Adaptive cubic regularisation methods for unconstrained optimization. Part II: worst-case function- and derivative-evaluation complexity	2010	Coralia Cartis Nicholas I. M. Gould Philippe L. Toint	1
+	Cubic regularization of Newton method and its global performance	2006	Yurii Nesterov B. T. Polyak	1
+	An Interior-Point Method for Large-Scale l 1 -Regularized Logistic Regression	2007	Kwangmoo Koh Seung-Jean Kim Stephen Boyd	1
+	A coordinate gradient descent method for nonsmooth separable minimization	2007	Paul Tseng Sangwoon Yun	1
+ PDF Chat	Submodular Function Maximization via the Multilinear Relaxation and Contention Resolution Schemes	2014	Chandra Chekuri J. Vondrák Rico Zenklusen	1
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	1
+	Parallel Coordinate Descent for L1-Regularized Loss Minimization	2011	Joseph K. Bradley Aapo Kyrola Danny Bickson Carlos Guestrin	1
+	Federated Optimization:Distributed Optimization Beyond the Datacenter	2015	Jakub Konečný H. Brendan McMahan Daniel Ramage	1
+ PDF Chat	On the Linear Convergence of the ADMM in Decentralized Consensus Optimization	2014	Wei Shi Qing Ling Kun Yuan Gang Wu Wotao Yin	1
+	Monte Carlo sampling methods using Markov chains and their applications	1970	W. Keith Hastings	1
+ PDF Chat	Determinantal Point Processes for Machine Learning	2012	Alex Kulesza	1
+	From MAP to Marginals: Variational Inference in Bayesian Submodular Models	2014	Josip Djolonga Andreas Krause	1
+ PDF Chat	On the O(1=k) convergence of asynchronous distributed alternating Direction Method of Multipliers	2013	Ermin Wei Asuman Ozdaglar	1
+	Near-Optimal MAP Inference for Determinantal Point Processes	2012	Jennifer Gillenwater Alex Kulesza Ben Taskar	1
+	An improved GLMNET for L1-regularized logistic regression	2012	Guo-Xun Yuan Chia-Hua Ho Chih‐Jen Lin	1
+	DSA: Decentralized Double Stochastic Averaging Gradient Algorithm	2015	Aryan Mokhtari Alejandro Ribeiro	1
+ PDF Chat	Bundle CDN: A Highly Parallelized Approach for Large-Scale ℓ1-Regularized Logistic Regression	2013	Yatao Bian Xiong Li Mingqi Cao Yuncai Liu	1
+	Distributed Stochastic Variance Reduced Gradient Methods and A Lower Bound for Communication Complexity	2015	Jason D. Lee Qihang Lin Tengyu Ma Tianbao Yang	1
+	Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains	2016	Yatao Bian Baharan Mirzasoleiman Joachim M. Buhmann Andreas Krause	1
+	A Reduction for Optimizing Lattice Submodular Functions with Diminishing Returns.	2016	Alina Ene Huy L. Nguyễn	1
+	Federated Learning: Strategies for Improving Communication Efficiency	2016	Jakub Konečný H. Brendan McMahan Felix X. Yu Peter Richtárik Ananda Theertha Suresh Dave Bacon	1
+ PDF Chat	Distributed coordinate descent for generalized linear models with regularization	2017	Ilya Trofimov Alexander Genkin	1
+	CoCoA: A General Framework for Communication-Efficient Distributed Optimization	2016	Virginia Smith Simone Forte Chenxin Ma Martin Takáč Michael I. Jordan Martin Jaggi	1
+ PDF Chat	Non-Monotone DR-Submodular Function Maximization	2017	Tasuku Soma Yuichi Yoshida	1
+	Optimal algorithms for smooth and strongly convex distributed optimization in networks	2017	Kevin G. Seaman Francis Bach Sébastien Bubeck Yin Tat Lee Laurent Massoulié	1
+	Decentralized Consensus Optimization With Asynchrony and Delays	2017	Tianyu Wu Kun Yuan Qing Ling Wotao Yin Ali H. Sayed	1
+	Sparse Online Learning via Truncated Gradient	2008	John Langford Lihong Li Tong Zhang	1
+	GIANT: Globally Improved Approximate Newton Method for Distributed Optimization	2017	Shusen Wang Farbod Roosta-Khorasani Peng Xu Michael W. Mahoney	1
+	Online Continuous Submodular Maximization	2018	Lin Chen Hamed Hassani Amin Karbasi	1
+	Decentralized Submodular Maximization: Bridging Discrete and Continuous Settings	2018	Aryan Mokhtari Hamed Hassani Amin Karbasi	1
+	D$^2$: Decentralized Training over Decentralized Data	2018	Hanlin Tang Xiangru Lian Ming Yan Ce Zhang Ji Liu	1
+	Inexact Successive Quadratic Approximation for Regularized Optimization.	2018	Ching-pei Lee Stephen J. Wright	1
+	Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization.	2018	Rad Niazadeh Tim Roughgarden Joshua R. Wang	1
+	A Distributed Second-Order Algorithm You Can Trust	2018	Celestine Dünner Aurélien Lucchi Matilde Gargiani An Bian Thomas Hofmann Martin Jaggi	1
+	Optimal Algorithms for Non-Smooth Distributed Optimization in Networks	2018	Kevin Scaman Francis Bach Sébastien Bubeck Yin Tat Lee Laurent Massoulié	1
+	Posterior agreement for large parameter-rich optimization problems	2018	Joachim M. Buhmann Julien Dumazert Alexey Gronskiy Wojciech Szpankowski	1