| 2011 |
|---|
| 18 | Parallel Online Learning. Daniel Hsu, Nikos Karampatziakis, John Langford, Alexander J. Smola. CoRR (abs/1103.4204) (2011). Web SearchBibTeXDownload |
| 17 | An Analysis of Random Design Linear Regression. Daniel Hsu, Sham M. Kakade, Tong Zhang. CoRR (abs/1106.2363) (2011). Web SearchBibTeXDownload |
| 16 | Stochastic convex optimization with bandit feedback. Alekh Agarwal, Dean P. Foster, Daniel Hsu, Sham M. Kakade, Alexander Rakhlin. CoRR (abs/1107.1744) (2011). Web SearchBibTeXDownload |
| 15 | Efficient Optimal Learning for Contextual Bandits. Miroslav Dudík, Daniel Hsu, Satyen Kale, Nikos Karampatziakis, John Langford, Lev Reyzin, Tong Zhang. CoRR (abs/1106.2369) (2011). Web SearchBibTeXDownload |
| 14 | Spectral Methods for Learning Multivariate Latent Tree Structure. Animashree Anandkumar, Kamalika Chaudhuri, Daniel Hsu, Sham M. Kakade, Le Song, Tong Zhang. CoRR (abs/1107.1283) (2011). Web SearchBibTeXDownload |
| 13 | A tail inequality for quadratic forms of subgaussian random vectors. Daniel Hsu, Sham M. Kakade, Tong Zhang. CoRR (abs/1110.2842) (2011). Web SearchBibTeXDownload |
| 12 | Robust Matrix Decomposition With Sparse Corruptions. Daniel Hsu, Sham M. Kakade, Tong Zhang. IEEE Transactions on Information Theory (57): 7221-7234 (2011). Web SearchBibTeXDownload |
| 11 | Sample Complexity Bounds for Differentially Private Learning. Kamalika Chaudhuri, Daniel Hsu. Journal of Machine Learning Research - Proceedings Track (19): 155-186 (2011). Web SearchBibTeXDownload |
| 2010 |
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| 10 | Agnostic Active Learning Without Constraints. Alina Beygelzimer, Daniel Hsu, John Langford, Tong Zhang. CoRR (abs/1006.2588) (2010). Web SearchBibTeXDownload |
| 9 | Robust Matrix Decomposition with Outliers. Daniel Hsu, Sham M. Kakade, Tong Zhang. CoRR (abs/1011.1518) (2010). Web SearchBibTeXDownload |
| 8 | An Online Learning-based Framework for Tracking. Kamalika Chaudhuri, Yoav Freund, Daniel Hsu. UAI 2010, 101-108. Web SearchBibTeXDownload |
| 2009 |
|---|
| 7 | A Spectral Algorithm for Learning Hidden Markov Models. Daniel Hsu, Sham M. Kakade, Tong Zhang. COLT 2009. Web SearchBibTeXDownload |
| 6 | Multi-Label Prediction via Compressed Sensing. Daniel Hsu, Sham Kakade, John Langford, Tong Zhang. CoRR (abs/0902.1284) (2009). Web SearchBibTeXDownload |
| 5 | A parameter-free hedging algorithm. Kamalika Chaudhuri, Yoav Freund, Daniel Hsu. CoRR (abs/0903.2851) (2009). Web SearchBibTeXDownload |
| 4 | Tracking using explanation-based modeling. Kamalika Chaudhuri, Yoav Freund, Daniel Hsu. CoRR (abs/0903.2862) (2009). Web SearchBibTeXDownload |
| 3 | A Parameter-free Hedging Algorithm. Kamalika Chaudhuri, Yoav Freund, Daniel Hsu. NIPS 2009, 297-305. Web SearchBibTeXDownload |
| 2008 |
|---|
| 2 | A Spectral Algorithm for Learning Hidden Markov Models. Daniel Hsu, Sham M. Kakade, Tong Zhang. CoRR (abs/0811.4413) (2008). Web SearchBibTeXDownload |
| 1 | A new Hedging algorithm and its application to inferring latent random variables. Yoav Freund, Daniel Hsu. CoRR (abs/0806.4802) (2008). Web SearchBibTeXDownload |
