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» Introduction to Randomized Algorithms
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INFOCOM
2012
IEEE
13 years 9 months ago
Cuckoo sampling: Robust collection of flow aggregates under a fixed memory budget
—Collecting per-flow aggregates in high-speed links is challenging and usually requires traffic sampling to handle peak rates and extreme traffic mixes. Static selection of sa...
Josep Sanjuàs-Cuxart, Pere Barlet-Ros, Nick...
TMC
2012
13 years 9 months ago
Mobile Data Offloading through Opportunistic Communications and Social Participation
—3G networks are currently overloaded, due to the increasing popularity of various applications for smartphones. Offloading mobile data traffic through opportunistic communicatio...
Bo Han, Pan Hui, V. S. Anil Kumar, Madhav V. Marat...
JMLR
2012
13 years 9 months ago
Beyond Logarithmic Bounds in Online Learning
We prove logarithmic regret bounds that depend on the loss L∗ T of the competitor rather than on the number T of time steps. In the general online convex optimization setting, o...
Francesco Orabona, Nicolò Cesa-Bianchi, Cla...
JMLR
2012
13 years 9 months ago
Learning Low-order Models for Enforcing High-order Statistics
Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
Patrick Pletscher, Pushmeet Kohli
JMLR
2012
13 years 9 months ago
Marginal Regression For Multitask Learning
Variable selection is an important and practical problem that arises in analysis of many high-dimensional datasets. Convex optimization procedures that arise from relaxing the NP-...
Mladen Kolar, Han Liu