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Oral
Wed Dec 10 04:00 PM -- 04:20 PM (PST)
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models
In Oral session 9: Sparse Learning and Ranking
Tong Zhang
Oral
Wed Dec 10 04:20 PM -- 04:40 PM (PST)
An interior-point stochastic approximation method and an L1-regularized delta rule
In Oral session 9: Sparse Learning and Ranking
Peter Carbonetto · Mark Schmidt · Nando de Freitas
Oral
Wed Dec 10 04:40 PM -- 05:00 PM (PST)
Global Ranking Using Continuous Conditional Random Fields
In Oral session 9: Sparse Learning and Ranking
Tao Qin · Tie-Yan Liu · Xu-Dong Zhang · De-Sheng Wang · Hang Li
Oral
Wed Dec 10 05:00 PM -- 05:20 PM (PST)
Inferring rankings under constrained sensing
In Oral session 9: Sparse Learning and Ranking
Srikanth Jagabathula · Devavrat Shah