Optimization
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Fast Rate Learning in Stochastic First Price Bidding
Juliette Achddou (ENS Paris)*; Olivier Cappé (ENS Paris); Aurélien Garivier (ENS Lyon) -
Bayesian Optimization with Partially Specified Queries
Shogo Hayashi (NEC Corporation)*; Junya Honda (Kyoto University / RIKEN); Hisashi Kashima (Kyoto University) -
Skew-symmetrically perturbed gradient flow for convex optimization
Futoshi Futami (NTT)*; Tomoharu Iwata (NTT); Naonori Ueda (NTT); Ikko Yamane (Université Paris Dauphine - PSL/RIKEN) -
Maximization of Monotone k-Submodular Functions with Bounded Curvature and Non-k-Submodular Functions
Tatsuya Matsuoka (NEC Corporation)*; Naoto Ohsaka (NEC Corporation) -
The Power of Factorial Powers: New Parameter settings for (Stochastic) Optimization
Aaron Defazio (Facebook AI Research)*; Robert M Gower (Telecom Paris Tech) -
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds
Reza Godaz (Ferdowsi University of Mashhad); Benyamin Ghojogh (University of Waterloo); Reshad Hosseini (University of Tehran)*; Reza Monsefi (Ferdowsi University of Mashhad); Fakhri Karray (University of Waterloo); Mark Crowley (University of Waterloo) -
An online semi-definite programming with a generalised log-determinant regularizer and its applications
Yaxiong Liu (Kyushu University)*; Ken-ichiro Moridomi (So-net Media Networks); Kohei Hatano (Kyushu University / RIKEN AIP); Eiji Takimoto (Kyushu University)