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Learning with Noisy Labels
- Nagarajan Natarajan, I. Dhillon, Pradeep Ravikumar, Ambuj Tewari
- Computer ScienceNIPS
- 5 December 2013
TLDR
PAC Subset Selection in Stochastic Multi-armed Bandits
- Shivaram Kalyanakrishnan, Ambuj Tewari, P. Auer, P. Stone
- Computer ScienceICML
- 26 June 2012
TLDR
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation
- Prateek Jain, Ambuj Tewari, Purushottam Kar
- Computer ScienceNIPS
- 19 October 2014
TLDR
Composite Objective Mirror Descent
- John C. Duchi, S. Shalev-Shwartz, Y. Singer, Ambuj Tewari
- Computer ScienceCOLT
- 1 December 2010
TLDR
On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization
- S. Kakade, Karthik Sridharan, Ambuj Tewari
- Computer ScienceNIPS
- 8 December 2008
This work characterizes the generalization ability of algorithms whose predictions are linear in the input vector. To this end, we provide sharp bounds for Rademacher and Gaussian complexities of…
REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs
- P. Bartlett, Ambuj Tewari
- Computer ScienceUAI
- 18 June 2009
TLDR
Smoothness, Low Noise and Fast Rates
- Nathan Srebro, Karthik Sridharan, Ambuj Tewari
- Computer ScienceNIPS
- 20 September 2010
We establish an excess risk bound of O(HR2n + √HL*Rn) for ERM with an H-smooth loss function and a hypothesis class with Rademacher complexity Rn, where L* is the best risk achievable by the…
On the Consistency of Multiclass Classification Methods
- Ambuj Tewari, P. Bartlett
- Computer ScienceJ. Mach. Learn. Res.
- 1 December 2007
TLDR
Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support
- I. Nahum-Shani, Shawna N. Smith, S. Murphy
- MedicineAnnals of behavioral medicine : a publication of…
- 12 December 2017
TLDR
Stochastic methods for l1 regularized loss minimization
- S. Shalev-Shwartz, Ambuj Tewari
- Computer ScienceICML '09
- 14 June 2009
TLDR
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