John C. Duchi - Publications

Affiliations: 
Electrical Engineering Stanford University, Palo Alto, CA 
 2014 Electrical Engineering and Computer Sciences University of California, Berkeley, Berkeley, CA 

34 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2015 Duchi JC, Jordan MI, Wainwright MJ, Wibisono A. Optimal Rates for Zero-Order Convex Optimization: The Power of Two Function Evaluations Ieee Transactions On Information Theory. 61: 2788-2806. DOI: 10.1109/TIT.2015.2409256  0.84
2014 Duchi JC, Jordan MI, Wainwright MJ. Privacy aware learning Journal of the Acm. 61. DOI: 10.1145/2666468  0.84
2014 Foygel Barber R, Duchi J. Privacy: A few definitional aspects and consequences for minimax mean-squared error Proceedings of the Ieee Conference On Decision and Control. 2015: 1365-1369. DOI: 10.1109/CDC.2014.7039572  0.84
2013 Duchi JC, Mackey L, Jordan MI. The asymptotics of ranking algorithms Annals of Statistics. 41: 2292-2323. DOI: 10.1214/13-AOS1142  0.84
2013 Agarwal A, Duchi JC. The generalization ability of online algorithms for dependent data Ieee Transactions On Information Theory. 59: 573-587. DOI: 10.1109/TIT.2012.2212414  0.84
2013 Duchi JC, Jordan MI, Wainwright MJ. Local privacy and statistical minimax rates Proceedings - Annual Ieee Symposium On Foundations of Computer Science, Focs. 429-438. DOI: 10.1109/FOCS.2013.53  0.84
2013 Zhang Y, Duchi JC, Wainwright MJ. Communication-efficient algorithms for statistical optimization Journal of Machine Learning Research. 14: 3321-3363. DOI: 10.1109/CDC.2012.6426691  0.84
2013 Zhang Y, Duchi JC, Jordan MI, Wainwright MJ. Information-theoretic lower bounds for distributed statistical estimation with communication constraints Advances in Neural Information Processing Systems 0.84
2013 Duchi JC, Jordan MI, Wainwright MJ. Local privacy and minimax bounds: Sharp rates for probability estimation Advances in Neural Information Processing Systems 0.84
2013 Duchi JC, Jordan MI, McMahan HB. Estimation, optimization, and parallelism when data is sparse Advances in Neural Information Processing Systems 0.84
2013 Zhang Y, Duchi JC, Wainwright MJ. Communication-efficient algorithms for statistical optimization Journal of Machine Learning Research. 14: 3321-3363.  0.84
2013 Zhang Y, Duchi J, Wainwright M. Divide and conquer kernel ridge regression Journal of Machine Learning Research. 30: 592-617.  0.84
2012 Duchi JC, Agarwal A, Johansson M, Jordan MI. Ergodic mirror descent Siam Journal On Optimization. 22: 1549-1578. DOI: 10.1137/110836043  0.84
2012 Duchi JC, Bartlett PL, Wainwright MJ. Randomized smoothing for stochastic optimization Siam Journal On Optimization. 22: 674-701. DOI: 10.1137/110831659  0.84
2012 Duchi JC, Agarwal A, Wainwright MJ. Dual averaging for distributed optimization: Convergence analysis and network scaling Ieee Transactions On Automatic Control. 57: 592-606. DOI: 10.1109/TAC.2011.2161027  0.84
2012 Duchi JC, Bartlett PL, Wainwright MJ. Randomized smoothing for (parallel) stochastic optimization Proceedings of the Ieee Conference On Decision and Control. 5442-5444. DOI: 10.1109/CDC.2012.6426698  0.84
2012 Agarwal A, Duchi JC. Distributed delayed stochastic optimization Proceedings of the Ieee Conference On Decision and Control. 5451-5452. DOI: 10.1109/CDC.2012.6426626  0.84
2012 Duchi JC, Agarwal A, Wainwright MJ. Dual averaging for distributed optimization 2012 50th Annual Allerton Conference On Communication, Control, and Computing, Allerton 2012. 1564-1565. DOI: 10.1109/Allerton.2012.6483406  0.84
2012 Duchi JC, Jordan MI, Wainwright MJ, Wibisono A. Finite sample convergence rates of zero-order stochastic optimization methods Advances in Neural Information Processing Systems. 2: 1439-1447.  0.84
2012 Duchi JC. Commentary on "towards a noncommutative arithmetic-geometric mean inequality" by B. Recht and C. Re Journal of Machine Learning Research. 23: 11.25-11.27.  0.84
2011 Agarwal A, Duchi JC, Bartlett PL, Levrard C. Oracle inequalities for computationally budgeted model selection Journal of Machine Learning Research. 19: 69-86.  0.84
2011 Duchi J, Hazan E, Singer Y. Adaptive subgradient methods for online learning and stochastic optimization Journal of Machine Learning Research. 12: 2121-2159.  0.84
2011 Duchi J, Hazan E, Singer Y. Adaptive subgradient methods for online learning and stochastic optimization Journal of Machine Learning Research. 12: 2121-2159.  0.84
2010 Duchi JC, Shalev-Shwartz S, Singer Y, Tewari A. Composite objective mirror descent Colt 2010 - the 23rd Conference On Learning Theory. 14-26.  0.84
2010 Duchi JC, Agarwal A, Wainwright MJ. Distributed dual averaging in networks Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 0.84
2010 Duchi JC, Mackey LW, Jordan MI. On the consistency of ranking algorithms Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 327-334.  0.84
2009 Duchi J, Singer Y. Boosting with structural sparsity Proceedings of the 26th International Conference On Machine Learning, Icml 2009. 297-304. DOI: 10.1145/1553374.1553412  0.84
2009 Duchi J, Singer Y. Boosting with structural sparsity Proceedings of the 26th International Conference On Machine Learning, Icml 2009. 297-304.  0.84
2009 Duchi J, Singer Y. Efficient online and batch learning using forward backward splitting Journal of Machine Learning Research. 10: 2899-2934.  0.84
2009 Duchi J, Singer Y. Efficient learning using forward-backward splitting Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 495-503.  0.84
2008 Duchi J, Gould S, Koller D. Projected subgradient methods for learning sparse Gaussians Proceedings of the 24th Conference On Uncertainty in Artificial Intelligence, Uai 2008. 153-160.  0.84
2008 Ganapathi V, Vickrey D, Duchi J, Koller D. Constrained approximate maximum entropy learning of Markov random fields Proceedings of the 24th Conference On Uncertainty in Artificial Intelligence, Uai 2008. 196-203.  0.84
2008 Duchi J, Shalev-Shwartz S, Singer Y, Chandra T. Efficient projections onto the ℓ1-ball for learning in high dimensions Proceedings of the 25th International Conference On Machine Learning. 272-279.  0.84
2007 Duchi J, Tarlow D, Elidan G, Koller D. Using combinatorial optimization within max-product belief propagation Advances in Neural Information Processing Systems. 369-376.  0.84
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