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 Miao Xu (RIKEN AIP)

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 Bo Han (RIKEN AIP)
17h30	Closing remarks

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Last update: July 24, 2019