Masakazu Muramatsu

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 13

Top Topics

Supervised Learning

Robust Optimization

Pure Nash Equilibria

Top Venues

Optim. Methods Softw.

IIAI-AAI-Winter

IEICE Trans. Inf. Syst.

Publications

Takefumi Kawakami, Takanori Ide, Kunihito Hoki, Masakazu Muramatsu
Shift Quality Classifier Using Deep Neural Networks on Small Data with Dropout and Semi-Supervised Learning. IEICE Trans. Inf. Syst. 106 (12) (2023)
Takashi Tsuchiya, Bruno F. Lourenço, Masakazu Muramatsu, Takayuki Okuno
A limiting analysis on regularization of singular SDP and its implication to infeasible interior-point algorithms. Math. Program. 200 (1) (2023)
Kosuke Aratani, Masakazu Muramatsu
A Variant of Knapsack Problem Efficient for Benders Decomposition. IIAI-AAI-Winter (2022)
Bruno F. Lourenço, Masakazu Muramatsu, Takashi Tsuchiya
Solving SDP completely with an interior point oracle. Optim. Methods Softw. 36 (2-3) (2021)
Takefumi Kawakami, Takanori Ide, Eiji Moriyama, Kunihito Hoki, Masakazu Muramatsu
Development of Artificial Intelligence to Classify Quality of Transmission Shift Control Using Deep Convolutional Neural Networks. IEEE Trans. Veh. Technol. 69 (12) (2020)
Bimal Chandra Das, Satoshi Takahashi, Eiji Oki, Masakazu Muramatsu
Approach to problem of minimizing network power consumption based on robust optimization. Int. J. Commun. Syst. 32 (5) (2019)
Bruno F. Lourenço, Tomonari Kitahara, Masakazu Muramatsu, Takashi Tsuchiya
An extension of Chubanov's algorithm to symmetric cones. Math. Program. 173 (1-2) (2019)
Bruno F. Lourenço, Masakazu Muramatsu, Takashi Tsuchiya
Facial Reduction and Partial Polyhedrality. SIAM J. Optim. 28 (3) (2018)
Bimal Chandra Das, Satoshi Takahashi, Eiji Oki, Masakazu Muramatsu
Network Congestion Minimization Models Based on Robust Optimization. IEICE Trans. Commun. (3) (2018)
Nobuo Araki, Kunihito Hoki, Satoshi Takahashi, Masakazu Muramatsu
Improved simulation adjusting. J. Int. Comput. Games Assoc. 39 (3-4) (2017)
Bruno F. Lourenço, Masakazu Muramatsu, Takashi Tsuchiya
Weak infeasibility in second order cone programming. Optim. Lett. 10 (8) (2016)
Yuki Sukenari, Kunihito Hoki, Satoshi Takahashi, Masakazu Muramatsu
Pure Nash equilibria of competitive diffusion process on toroidal grid graphs. Discret. Appl. Math. 215 (2016)
Masakazu Muramatsu, Hayato Waki, Levent Tunçel
Perturbed sums-of-squares theorem for polynomial optimization and its applications. Optim. Methods Softw. 31 (1) (2016)
Nobuo Araki, Masakazu Muramatsu, Kunihito Hoki, Satoshi Takahashi
Monte-Carlo Simulation Adjusting. AAAI (2014)
Hayato Waki, Masakazu Muramatsu
Facial Reduction Algorithms for Conic Optimization Problems. J. Optim. Theory Appl. 158 (1) (2013)
Kunihito Hoki, Masakazu Muramatsu
Efficiency of three forward-pruning techniques in shogi: Futility pruning, null-move pruning, and Late Move Reduction (LMR). Entertain. Comput. 3 (3) (2012)
Hayato Waki, Maho Nakata, Masakazu Muramatsu
Strange behaviors of interior-point methods for solving semidefinite programming problems in polynomial optimization. Comput. Optim. Appl. 53 (3) (2012)
Hayato Waki, Masakazu Muramatsu
A facial reduction algorithm for finding sparse SOS representations. Oper. Res. Lett. 38 (5) (2010)
Masakazu Kojima, Masakazu Muramatsu
A note on sparse SOS and SDP relaxations for polynomial optimization problems over symmetric cones. Comput. Optim. Appl. 42 (1) (2009)
Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi
Implementation Issues of Second-Order Cone Programming Approaches for Support Vector Machine Learning Problems. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (4) (2009)
Hayato Waki, Sunyoung Kim, Masakazu Kojima, Masakazu Muramatsu, Hiroshi Sugimoto
Algorithm 883: SparsePOP - A Sparse Semidefinite Programming Relaxation of Polynomial Optimization Problems. ACM Trans. Math. Softw. 35 (2) (2008)
Masakazu Kojima, Masakazu Muramatsu
An Extension of Sums of Squares Relaxations to Polynomial Optimization Problems Over Symmetric Cones. Math. Program. 110 (2) (2007)
Hayato Waki, Sunyoung Kim, Masakazu Kojima, Masakazu Muramatsu
Sums of Squares and Semidefinite Program Relaxations for Polynomial Optimization Problems with Structured Sparsity. SIAM J. Optim. 17 (1) (2006)
Masakazu Muramatsu
A pivoting procedure for a class of second-order cone programming. Optim. Methods Softw. 21 (2) (2006)
Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi
An Efficient Support Vector Machine Learning Method with Second-Order Cone Programming for Large-Scale Problems. Appl. Intell. 23 (3) (2005)
Masakazu Muramatsu
A Unified Class of Directly Solvable Semidefinite Programming Problems. Ann. Oper. Res. 133 (1-4) (2005)
Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi
A New Model for Large Margin Classifiers by Second Order Cone Programming. IC-AI (2004)
Masakazu Muramatsu, Robert J. Vanderbei
Primal-Dual Affine-Scaling Algorithms Fail for Semidefinite Programming. Math. Oper. Res. 24 (1) (1999)
Masakazu Muramatsu
Affine scaling algorithm fails for semidefinite programming. Math. Program. 83 (1998)
Masakazu Muramatsu, Takashi Tsuchiya
Convergence analysis of the projective scaling algorithm based on a long-step homogeneous affine scaling algorithm. Math. Program. 72 (1996)
Masakazu Muramatsu, Takashi Tsuchiya
An affine scaling method with an infeasible starting point: Convergence analysis under nondegeneracy assumption. Ann. Oper. Res. 62 (1) (1996)
Takashi Tsuchiya, Masakazu Muramatsu
Global Convergence of a Long-Step Affine Scaling Algorithm for Degenerate Linear Programming Problems. SIAM J. Optim. 5 (3) (1995)