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JUN-YA GOTOH
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Name
Affiliation
Papers
JUN-YA GOTOH
Institute of Policy and Planning Sciences, University of Tsukuba, Ibaraki, Japan
17
Collaborators
Citations
PageRank
13
117
10.17
Referers
Referees
References
256
275
183
Search Limit
100
275
Publications (17 rows)
Collaborators (13 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Robust empirical optimization is almost the same as mean-variance optimization.
2
0.36
2018
DC formulations and algorithms for sparse optimization problems.
12
0.55
2018
Calibration of Distributionally Robust Empirical Optimization Models
0
0.34
2017
Support vector machines based on convex risk functions and general norms.
1
0.36
2017
Multi-period portfolio selection using kernel-based control policy with dimensionality reduction
1
0.35
2014
Interaction between financial risk measures and machine learning methods
4
0.44
2014
Simultaneous pursuit of out-of-sample performance and sparsity in index tracking portfolios
11
0.74
2013
Minimizing loss probability bounds for portfolio selection.
5
0.45
2012
Bounding Contingent Claim Prices via Hedging Strategy with Coherent Risk Measures.
0
0.34
2011
On the role of norm constraints in portfolio selection
12
0.98
2011
α-Conservative approximation for probabilistically constrained convex programs
0
0.34
2010
Conditional minimum volume ellipsoid with application to multiclass discrimination
0
0.34
2008
Newsvendor solutions via conditional value-at-risk minimization
52
2.17
2007
Minimal Ellipsoid Circumscribing a Polytope Defined by a System of Linear Inequalities
1
0.37
2006
Global optimization method for solving the minimum maximal flow problem
2
0.42
2003
Bounding Option Prices by Semidefinite Programming: A Cutting Plane Algorithm
4
0.59
2002
Maximization of the Ratio of Two Convex Quadratic Functions over a Polytope
10
1.04
2001
1