Akihiro Yabe

Orcid: 0000-0002-7557-8275

According to our database1, Akihiro Yabe authored at least 14 papers between 2015 and 2021.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
On the Convex Combination of Determinantal Point Processes.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Tightly Robust Optimization via Empirical Domain Reduction.
CoRR, 2020

Causality and Robust Optimization.
CoRR, 2020

A Predictive Optimization Framework for Hierarchical Demand Matching.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

2019
Empirical Hypothesis Space Reduction.
CoRR, 2019

2018
Regret Bounds for Online Portfolio Selection with a Cardinality Constraint.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Causal Bandits with Propagating Inference.
Proceedings of the 35th International Conference on Machine Learning, 2018

Unbiased Objective Estimation in Predictive Optimization.
Proceedings of the 35th International Conference on Machine Learning, 2018

Online Regression with Partial Information: Generalization and Linear Projection.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Robust Quadratic Programming for Price Optimization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2015
A combinatorial formula for principal minors of a matrix with tree-metric exponents and its applications.
J. Comb. Theory, Ser. A, 2015

Bi-polynomial rank and determinantal complexity.
CoRR, 2015

Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View.
Proceedings of the 32nd International Conference on Machine Learning, 2015


  Loading...