Zeyuan Allen-Zhu (朱澤園)
Zeyuan Allen-Zhu (朱澤園)
Microsoft Research AI Microsoft Research Redmond
Verified email at csail.mit.edu - Homepage
TitleCited byYear
Katyusha: the first direct acceleration of stochastic gradient methods
Z Allen-Zhu
STOC 2017: Symposium on Theory of Computing, 19-23, 2017
3122017
Variance reduction for faster non-convex optimization
Z Allen-Zhu, E Hazan
ICML 2016: International Conference on Machine Learning, 699-707, 2016
2462016
Linear coupling: An ultimate unification of gradient and mirror descent
Z Allen-Zhu, L Orecchia
ITCS 2017: Innovations in Theoretical Computer Science, 2017
220*2017
A simple, combinatorial algorithm for solving SDD systems in nearly-linear time
JA Kelner, L Orecchia, A Sidford, ZA Zhu
STOC 2013: Symposium on Theory of Computing, 911-920, 2013
1892013
A convergence theory for deep learning via over-parameterization
Z Allen-Zhu, Y Li, Z Song
ICML 2019: International Conference on Machine Learning, 2019
1882019
Finding approximate local minima faster than gradient descent
N Agarwal, Z Allen-Zhu, B Bullins, E Hazan, T Ma
STOC 2017: Symposium on Theory of Computing, 1195-1199, 2017
182*2017
Improved SVRG for non-strongly-convex or sum-of-non-convex objectives
Z Allen-Zhu, Y Yuan
ICML 2016: International Conference on Machine Learning, 1080-1089, 2016
1322016
Natasha 2: Faster Non-Convex Optimization Than SGD
Z Allen-Zhu
NIPS 2018: Neural Information Processing Systems, 2018
1232018
Learning and generalization in overparameterized neural networks, going beyond two layers
Z Allen-Zhu, Y Li, Y Liang
NeurIPS 2019: Neural Information Processing Systems, 2019
1212019
Asymptotically optimal strategy-proof mechanisms for two-facility games
P Lu, X Sun, Y Wang, ZA Zhu
ACM-EC 2010: Conference on Economics and Computation, 315-324, 2010
1182010
Even faster accelerated coordinate descent using non-uniform sampling
Z Allen-Zhu, Z Qu, P Richtárik, Y Yuan
ICML 2016: International Conference on Machine Learning, 1110-1119, 2016
1072016
A novel click model and its applications to online advertising
ZA Zhu, W Chen, T Minka, C Zhu, Z Chen
WSDM 2010: International Conference on Web Search and Data Mining, 321-330, 2010
992010
Randomized accuracy-aware program transformations for efficient approximate computations
ZA Zhu, S Misailovic, JA Kelner, M Rinard
POPL 2012: Symposium on Principles of Programming Languages, 441-454, 2012
942012
P-packSVM: Parallel primal gradient descent kernel SVM
ZA Zhu, W Chen, G Wang, C Zhu, Z Chen
ICDM 2009: International Conference on Data Mining, 677-686, 2009
82*2009
Is Q-learning Provably Efficient?
C Jin, Z Allen-Zhu, S Bubeck, MI Jordan
NIPS 2018: Neural Information Processing Systems, 2018
762018
LazySVD: Even faster SVD decomposition yet without agonizing pain
Z Allen-Zhu, Y Li
NIPS 2016: Neural Information Processing Systems, 974-982, 2016
712016
Local Graph Clustering Beyond Cheeger's Inequality
ZA Zhu, S Lattanzi, V Mirrokni
ICML 2013: International Conference on Machine Learning, 2013
71*2013
Natasha: Faster Non-Convex Stochastic Optimization Via Strongly Non-Convex Parameter
Z Allen-Zhu
ICML 2017: International Conference on Machine Learning, 2017
68*2017
Neon2: Finding Local Minima via First-Order Oracles
Z Allen-Zhu, Y Li
NIPS 2018: Neural Information Processing Systems, 2018
562018
Nearly Linear-Time Packing and Covering LP Solvers
Z Allen-Zhu, L Orecchia
Mathematical Programming 2018 / STOC 2015, 2018
54*2018
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Articles 1–20