Second Conference on
Discrete Optimization and Machine Learning
29-31 July, 2019
RIKEN Center for Advanced Intelligence Project
Tokyo, Japan

Monday, July 29

09h30 - 10h00 Reception/Coffee/Opening remarks
10h00 - 12h00 Session A1 -- Chair: Amitabh Basu `
A11 A convex integer programming approach for optimal sparse PCA
Santanu Dey (Georgia Tech)
A12 Large scale Bayesian optimization with subspace decomposition
Logan Mathesen (Arizona State University)
A13 A limiting analysis of regularization of SDP and its implication to infeasible interior-point algorithms
Takashi Tsuchiya (Graduate Research Institute for Policy Studies)
A14 Stochastic proximal methods for non-smooth non-convex constrained sparse optimization
Michael Metel (RIKEN AIP)
12h00 - 13h00 Lunch
13h00 - 14h30 Session A2 -- Chair: Santanu Dey
A21 Locally accelerated conditional gradients
Alejandro Carderera (Georgia Tech)
A22 No-regret algorithms for online k-submodular maximization
Tasuku Soma (University of Tokyo)
A23 Parallel depth-first search and the applications to data mining
Kazuki Yoshizoe (RIKEN AIP)
14h30 - 15h00 Coffee
15h00 - 16h30 Session A3 -- Chair: Takanori Maehara
A31 Falsification of cyber physical systems: a stochastic optimization perspective
Giulia Pedrielli (Arizona State University)
A32 Learning-algorithms from Bayesian principles
Emtiyaz Khan (RIKEN AIP)
A33 Matrix co-completion for multi-label classification with missing features and labels

Tuesday, July 30

09h30 - 10h00 Reception/Coffee
10h00 - 12h00 Session B1 -- Chair: Masashi Sugiyama
B11 Admissibility of solution estimators to stochastic optimization problems
Amitabh Basu (Johns Hopkins University)
B12 On solving mixed integer non linear programs with separable non convexities
Claudia D'Ambrosio (CNRS & Ecole Polytechnique)
B13 Blended matching pursuit
Cyrille Combettes (Georgia Tech)
B14 Simulation based mixed integer programming
Alexander Martin (Universität Erlangen-Nürnberg)
12h00 - 13h00 Lunch
13h00 - 14h30 Session B2 -- Chair: Edwin Romeijn
B21 Strong mixed-integer programming formulations for trained neural networks
Joey Huchette (Massachusetts Institute of Technology)
B22 Airline schedule planning under infrastructure constraint and with customer choice evaluation
Sébastien Deschamps (Ecole Nationale des Ponts et Chaussées)
B23 Adding variables - speed up by including new binary variables
Robert Hildebrand (Virginia Tech)
14h30 - 15h00 Coffee
15h00 - 16h30 Session B3 -- Chair: Alexander Martin
B31 Causal-retro-causal Systems induce a dynamics on a manifold
Hans-Georg Zimmermann (Fraunhofer Nürnberg)
B32 Adaptive algorithm for finding connected dominating sets in uncertain graphs
Takuro Fukunaga (Chuo University)
B33 Computing full conformal prediction set with approximate homotopy
Eugène Ndiaye (RIKEN AIP)

Wednesday, July 31

09h30 - 10h00 Reception/Coffee
10h00 - 12h00 Session C1 -- Chair: Claudia D'Ambrosio
C11 Sampling from log supermodular distribution
Shuji Kijima (Kyushu University)
C12 Fair dimensionality reduction and iterative rounding for SDPs
Uthaipon Tantipongpipat (Georgia Tech)
C13 Differentiable ranks using optimal transport: The Sinkhorn CDF and quantile operator
Marco Cuturi (Google Brain)
C14 Random projection for conic programming
Pierre-Louis Poirion (RIKEN AIP)
12h00 - 14h00 Lunch
14h00 - 15h30 Session C2 -- Chair: Albert Heuberger
C21 Multi-armed bandit problem in piece-wise stationary environment
Chi-Guhn Lee (University of Toronto)
C22 Policy transfer via greedy state recoding
Christopher Mutschler (Universität Erlangen-Nürnberg)
C23 Stochastic monotone submodular maximization with queries
Takanori Maehara (RIKEN AIP)
15h30 - 16h00 Coffee
16h00 - 17h30 Session C3 -- Chair: Joey Huchette
C31 Tensor network representation in machine learning
Qibin Zhao (RIKEN AIP)
C32 Machine learning approaches in brain correlates of dementia elucidation - tensor machine learning and beyond
Tomasz Rutkowski (University of Tokyo / RIKEN AIP)
C33 Towards robust deep learning
17h30 Closing remarks

Last update: July 24, 2019