Ryohei Fujimaki
14 papers · 2012–2018 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (27)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(68)
Venues
Top co-authors
Research topics
Machine Learning
(13)
Optimization & Theory
(12)
Core Methods
(8)
Mathematics & Optimization
(7)
Optimization
(7)
Bayesian & Probabilistic Β· Machine Learning
(4)
Artificial Intelligence
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Reinforcement Learning
(1)
Core AI
(1)
Learning Types
(1)
Methods
(1)
Keywords
model selection
(7)
bayesian inference
(7)
factorized information criterion
(3)
factorized asymptotic bayesian
(3)
variational inference
(3)
convex optimization
(3)
bayesian model selection
(2)
asymptotic analysis
(2)
marginal likelihood
(2)
feature selection
(2)
factorized asymptotic bayesian inference
(2)
cardinality constraint
(2)
price optimization
(2)
revenue maximization
(2)
policy search
(1)
sparse feature selection
(1)
principal component analysis
(1)
linear programming
(1)
group lasso
(1)
indian buffet process
(1)
Papers
Unbiased Objective Estimation in Predictive Optimization
ICML 2018
Factorized Asymptotic Bayesian Policy Search for POMDPs
IJCAI 2017
On The Projection Operator to A Three-view Cardinality Constrained Set
ICML 2017
Robust Quadratic Programming for Price Optimization
IJCAI 2017
Scalable Model Selection for Belief Networks
NeurIPS 2017
Large-Scale Price Optimization via Network Flow
NeurIPS 2016
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood
ICML 2015
Scalable Model Selection for Large-Scale Factorial Relational Models
ICML 2015
Exclusive Feature Learning on Arbitrary Structures via β_1,2-norm
NeurIPS 2014
Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint
ICML 2014
Fully-Automatic Bayesian Piecewise Sparse Linear Models
AISTATS 2014
Partition-wise Linear Models
NeurIPS 2014
Factorized Asymptotic Bayesian Inference for Latent Feature Models
NeurIPS 2013
Factorized Asymptotic Bayesian Inference for Mixture Modeling
AISTATS 2012