Ambuj Tewari
Ambuj Tewari
Associate Professor, Department of Statistics and Department of EECS, University of Michigan
確認したメール アドレス: umich.edu - ホームページ
タイトル引用先
Stochastic methods for l1-regularized loss minimization
S Shalev-Shwartz, A Tewari
Journal of Machine Learning Research 12 (Jun), 1865-1892, 2011
3612011
Learning with noisy labels
N Natarajan, IS Dhillon, PK Ravikumar, A Tewari
Advances in neural information processing systems, 1196-1204, 2013
3592013
Composite Objective Mirror Descent.
JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari
COLT, 14-26, 2010
2492010
On the complexity of linear prediction: Risk bounds, margin bounds, and regularization
SM Kakade, K Sridharan, A Tewari
Advances in neural information processing systems, 793-800, 2009
1992009
On the consistency of multiclass classification methods
A Tewari, PL Bartlett
Journal of Machine Learning Research 8 (May), 1007-1025, 2007
1962007
Just-in-time adaptive interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support
I Nahum-Shani, SN Smith, BJ Spring, LM Collins, K Witkiewitz, A Tewari, ...
Annals of Behavioral Medicine 52 (6), 446-462, 2017
1652017
PAC subset selection in stochastic multi-armed bandits
S Kalyanakrishnan, A Tewari, P Auer, P Stone
Proceedings of the 29th International Conference on Machine Learning (ICML …, 2012
1542012
Microrandomized trials: An experimental design for developing just-in-time adaptive interventions.
P Klasnja, EB Hekler, S Shiffman, A Boruvka, D Almirall, A Tewari, ...
Health Psychology 34 (S), 1220, 2015
1332015
Regularization techniques for learning with matrices
SM Kakade, S Shalev-Shwartz, A Tewari
Journal of Machine Learning Research 13 (Jun), 1865-1890, 2012
1332012
Exploiting longer cycles for link prediction in signed networks
KY Chiang, N Natarajan, A Tewari, IS Dhillon
Proceedings of the 20th ACM international conference on Information and …, 2011
1222011
Efficient bandit algorithms for online multiclass prediction
SM Kakade, S Shalev-Shwartz, A Tewari
Proceedings of the 25th international conference on Machine learning, 440-447, 2008
1222008
Smoothness, low noise and fast rates
N Srebro, K Sridharan, A Tewari
Advances in neural information processing systems, 2199-2207, 2010
1162010
REGAL: A regularization based algorithm for reinforcement learning in weakly communicating MDPs
PL Bartlett, A Tewari
Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial …, 2009
1132009
On iterative hard thresholding methods for high-dimensional M-estimation
P Jain, A Tewari, P Kar
Advances in Neural Information Processing Systems, 685-693, 2014
1082014
On the generalization ability of online strongly convex programming algorithms
SM Kakade, A Tewari
Advances in Neural Information Processing Systems, 801-808, 2009
1012009
Prediction and clustering in signed networks: a local to global perspective
KY Chiang, CJ Hsieh, N Natarajan, IS Dhillon, A Tewari
The Journal of Machine Learning Research 15 (1), 1177-1213, 2014
1002014
Greedy algorithms for structurally constrained high dimensional problems
A Tewari, PK Ravikumar, IS Dhillon
Advances in Neural Information Processing Systems, 882-890, 2011
952011
Optimal strategies and minimax lower bounds for online convex games
J Abernethy, PL Bartlett, A Rakhlin, A Tewari
952008
On the nonasymptotic convergence of cyclic coordinate descent methods
A Saha, A Tewari
SIAM Journal on Optimization 23 (1), 576-601, 2013
922013
Optimistic linear programming gives logarithmic regret for irreducible MDPs
A Tewari, PL Bartlett
Advances in Neural Information Processing Systems, 1505-1512, 2008
852008
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