ID	Poster ID	Author	Title
433	26-1	Koh Takeuchi	Higher Order Fused Regularization for Supervised Learning with Grouped Parameters
141	26-2	Hideko Kawakubo	Coping with Class Balance Change in Classification: Class-Prior Estimation with Energy Distance
14	26-3	Yaser Souri	Bird Part Localization with Random Forest on Deep Features for Fine-grained Classification
17	26-4	Florian Gesser	Investigating the schizophrenic brain: Automated classification of biomarkers
279	26-5	Rel Guzman Apaza	Exploratory Data Analysis for Predicting Reaction and Reception to Textual Content
28	26-6	Aizhan Ibraimova	Automatic Library Classification for Scientific Articles
416	26-7	Atsushi Shibagaki	Approximately optimal selection of regularization parameters for L2 regularized convex loss minimization problems for supervised classifications
284	26-9	Naoya Takeishi	Modeling Spacecraft Telemetry Data using Dynamic Mixture Models
303	26-10	Syed Ali Asad Rizvi	Can we beat the market more safely using Machine Learning?
49	26-11	Nauman Shahid	Robust Principal Component Analysis On Graphs
60	26-12	Emanuele Frandi	Frank-Wolfe Algorithms in Machine Learning: SVM Training, Lasso Regression and Other Applications
61	26-13	Hongzhou Lin	spotlight Proximal incremental majorization-minimization optimization method
193	26-14	Christoph Manss	Dictionary Learning for Sparsity Driven Exploration
322	26-15	Kevin Bello Medina	Reconceptualizing the classification of specialization programs offered by Peruvian universities using Topic Modeling
195	26-16	Takagi Yu	spotlight Neural link between Obsessive-compulsive disorder and delay discounting
454	26-17	nazanin ZOUNEMAT KERMANI	Comparative study of automated feature selection and classification techniques for detection of histological features by mass spectrometry imaging
327	26-18	Akira Tanimoto	Operational Quality Management of Massive Predictive Models
72	26-19	Marine LE MORVAN	spotlight Cancer stratification from mutation profiles using gene networks
83	26-20	Samuele Fiorini	Detection of disease course in Multiple Sclerosis: a Machine Learning approach
469	26-21	yuki hagimoto	Reasoning of Effective Attack Patterns Using the ILP in RoboCup Soccer Simulation 2D
94	26-22	Viktoria Rojkova	Random matrices in unsupervised framework
226	26-23	Denis Ergashbaev	Machine Learning Approximation Techniques Using Dual Trees
99	26-24	Woosang Lim	spotlight Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale Data Sets
232	26-25	Nikola Mitrovic	Low-dimensional Models for Compressed Sensing and Prediction of Large-Scale Traffic Data
444	26-26	Filipe Veiga	Stabilizing Novel Objects by Learning to Predict Tactile Slip
108	26-27	Levent Sagun	spotlight High Dimensional Surfaces and Optimization
494	26-28	Rudolf Lioutikov	Simultaneous Learning of Segmentations and Skill Libraries
189	26-29	Erina Ishikawa	Using Designers' Perspective to Understand Content-Browsing Behavior
498	26-30	Werner Creixell	Prediction of nutritional deficiencies in maize plants from optical properties using spectral signature
243	26-31	Thong Pham	Digging up the past: A Bayesian Analysis of Complex Networks With Missing Timelines
376	26-32	Ronald Ahmed Cardenas Acosta	Reconceptualizing the classification of specialization programs offered by Peruvian universities using Topic Modeling
378	26-33	Vincent Roulet	Diversity learning through clustered penalties
252	26-34	Luca Ambrogioni	Modelling spatiotemporal cortical dynamics using additive Gaussian processes.
255	26-35	Sho Sonoda	Ridgelet Analysis of Recent Neural Networks

ID	Poster ID	Author	Title
411	27-1	Yung-Kyun Noh	Nearest Neighbor Methods with Generative Metric
258	27-2	Kacper Chwialkowski	Fast Two Sample Tests using Smooth Random Features
5	27-3	Robin Swezey	spotlight Recommending Short-Lived Dynamic Packages for Golf Booking Services
278	27-4	Vikram Kamath	Exploring Architectures for the Iterative Neural Autoregressive Distribution Estimator (NADE-k)
135	27-5	Aubin Samacoits	Developing statistical method and machine learning algorithm to study mRNA localization in human cells
265	27-6	Akshat Srivastava	Robustness of LASSO
394	27-7	Miriam Srokova	Machine Learning Based Air Traffic Flow
11	27-8	Mijung Park	K2-ABC: Approximate Bayesian Computation with Infinite Dimensional Summary Statistics via Kernel Embeddings
281	27-9	Irina Korotkova	Mirror neuron model for gesture recognition
534	27-10	Ilaria Giulini	spotlight A PAC-Bayesian approach to principal component analysis in high dimension
153	27-11	Tomoya Sakai	Image registration based on squared-loss mutual information
160	27-12	Inbal Horev	Intrinsic Principal Component Analysis for Symmetric Positive Definite Matrices
432	27-13	Jessa Bekker	Learning Markov Networks with Sentential Decision Diagrams
419	27-14	Toshiyuki Takada	Privacy preserving logistic regression by using piecewise-linear approximation
241	27-16	Seyedeh Mohadeseh Ghasempour Ganji	Generalized Modularity for community detection
93	27-17	Louisa Kessi	Automatic Modeling and Recognition of Heterogeneous Logical Structures from Digitized Business Documents
48	27-18	Ikko Yamane	Regularized multi-task learning for multi-dimensional log-density gradient estimation
318	27-19	Mariano Gabitto	Bayesian Inference of Spinal Interneurons Classes Reveals Diverse and Spatially Clustered Cell Types
452	27-20	Jean-Baptiste Alayrac	Structured learning from video and natural language
330	27-21	Ayaka Sakata	spotlight Replica Symmetric Bound for Restricted Isometry Constant
461	27-22	Shunya Ueta	Semi-supervised learning using a contour integral-based eigensolver in computer vision.
79	27-23	Shanshan (Sherry) Ruan	Representation Discovery for MDPs Using Bisimulation Metrics
339	27-24	Ryosuke Kojima	Multimodal scene understanding using CNN and hierarchical HMM for a cooking support robot
472	27-25	Tyler Garvin	Ginkgo: interactive analysis and quality assessment of single-cell copy number variation
477	27-26	Duy Khuong Nguyen	Fast Anti-lopsided Algorithm for Nonnegative Matrix Factorization in High Dimensional Space
481	27-27	Gudmundur Einarsson	Motion Analysis from Scene Flow
234	27-28	Gilad Amar	Deep Learning in Radio Astronomy
236	27-29	Kelvin Xu	Show Attend and Tell: Neural Image Caption Generation with Visual Attention
110	27-30	Alexander Schmitz	Tactile Object Recognition and In-Hand Manipulation with the TWENDY-ONE hand
113	27-31	Nare Karapetyan	Car Parking System
467	27-32	Hiroaki Sasaki	Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation
254	27-33	Takanori Sugiyama	Review of Quantum Machine Learning
121	27-34	Yongxin Yang	A Unified Perspective on Multi-Domain and Multi-Task Learning
510	27-35	Jiawen Lin	Recommendation in IOT: A Context-aware Recommender System Based on Indoor Positioning and Tracking

ID	Poster ID	Author	Title
389	28-1	Adrien Martel	EEG-based Neurofeedback for sustained attention enhancement
557	28-2	Dorota Blaszczuk	Machine Learning application in insurance - telematics data sets
6	28-3	Masayuki Ohzeki	spotlight Statistical-mechanical analysis of pre-training and fine tuning in deep learning
402	28-4	Paavo Parmas	Inverted Pendulum Using Machine Learning and Computer Vision
408	28-5	Satoshi Takabe	Typical behavior of the linear programming method for combinatorial optimization problems
156	28-6	Keisuke Yano	Bayesian Multi-step Ahead Prediction and Model Selection
33	28-7	Seirana Hashemi Ranjbar	Incorporating protein domain for sparse classifiers in cancer associations
423	28-8	Olga Zhukova	Algorithm selection for examination timetabling using machine learning techniques
427	28-9	Hiroyuki Hanada	Enumerating Eulerian Trails Based on Line Graph Conversion
173	28-10	Yifan Wu	On identifying good options under combinatorially structured feedback in finite noisy environments
438	28-11	Bruno Lourenco	Squared slack variables in nonlinear semidefinite programming
55	28-12	Zoltan Adam Milacski	Robust Segmentation Based Anomaly Detection
190	28-13	Stefano Marano	A STATE-SPACE APPROACH FOR THE ANALYSIS OF WAVE AND DIFFUSION FIELDS
65	28-14	Tony TUNG	spotlight Learning the Human Body Shape
70	28-15	Natalia Efremova	Neurophysiologically plausible model of human mirror neuron system
200	28-16	Alberto Viseras Ruiz	Efficient Exploration of Complex, Unknown Environments with Safety Constraints
463	28-17	JeongHun Baek	Computational Complexity Reduction for Functional Connectivity Estimation in Large Scale Neural Network
80	28-18	Shi Zhao	Towards understanding web queries with knowledge-graph enriched intent topic representations
349	28-19	Viktoriia Oliinyk	Methods for Link Prediction Adopted from the Social Choice Theory
483	28-20	hosnieh sattar	Prediction of Search Targets From Fixations in Open-World Settings
342	28-21	Cedric Malherbe	Global Optimization with Active Learning
346	28-22	Jorge Copete	Multimodal Integration Using Deep Autoencoder: Visuomotor Correspondence Learning in Human-Robot Interaction.
219	28-23	Ryo Karakida	spotlight Identifying Feature Components Extracted by Contrastive Divergence Learning in Gaussian RBMs
479	28-24	Christian Hammerschmidt	Learning Timed Probabilistic Automatons in Streams under Adversarial Influence for Applications in Authentication
464	28-25	Takafumi YANO	MEG Inverse Problem and Information Criterion
227	28-26	Christophe DUPUY	Review Prediction Using Topic Models
360	28-28	Gregor Gebhardt	Embedding Kalman Filters into Reproducing Kernel Hilbert Spaces
365	28-29	Ricardo Fonseca	Prediction of nutritional deficiencies in maize plants from optical properties using spectral signature
238	28-30	Dmitrii Ostrovskii	Near-optimal signal recovery by convex optimization
370	28-31	Sandhya Tripathi	Some equilibrium prediction problems in M/M/1 queues.
117	28-32	Thomas Brouwer	spotlight Latent variable model with Bayesian learning for drug repositioning
375	28-33	Igor dos Santos Montagner	Learning image transformations to process music scores
251	28-34	Yutaro Shigeto	Analyzing the Hubness Phenomenon in Zero-shot learning

ID	Poster ID	Author	Title
257	1-1	Akifumi Okuno	Robust cross-domain matching: Analyzing multi-domain data vectors under mismatched associations
133	1-2	Thomas Moreau	spotlight Convolutional Dictionary Learning with Temporal Regularization
51	1-3	Ghazal Ghazaei	Artificial Vision for Artificial Hands (AVAH)
8	1-4	Junpei Komiyama	spotlight Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem
148	1-5	Abdullah Khamis	Gene Expression Data Analysis Using Machine Learning Techniques
24	1-6	Vikrant Yadav	Automatic Generation of Wikipedia Articles
25	1-7	Marthinus Christoffel (Christo) du Plessis	Learning from Positive and Unlabeled Data
538	1-8	Hsin-Yuan Huang	spotlight Automatic Machine Learning by Linear and Kernel Classifiers
52	1-9	Weihua Hu	Academic Information Retrieval
29	1-10	Elena Shirokova	Automatic Library Classification for Scientific Articles
543	1-11	Mu-Chu Lee	Fast Matrix-vector multiplication for Large-scale Logistic Regression on Shared-memory System
34	1-12	Felipe Yanez	Primal-Dual Algorithms for Non-negative Matrix Factorization with the Kullback-Leibler Divergence
421	1-13	Masaru Ito	Optimal subgradient-based methods for convex optimization problems with special structure
422	1-14	Kazuya Nakagawa	Efficient combinatorial interaction detection by using safe screening approaches
46	1-15	Cem Orhan	Active Learning by Statistical Leverage Sampling (Cem Orhan and Oznur Tastan)
434	1-16	Yukihiro Togari	spotlight A proximal gradient method with componentwise lazy evaluation for online optimization
435	1-17	Takeru Miyato	Which to use dropout or dropconnect in Multi-label Learning?
436	1-18	Peter Udo Diehl	Fast-Classifying, High-Accuracy Spiking Deep Networks Through Weight and Threshold Balancing
308	1-19	Maksym Andriushchenko	Data analysis in social games
519	1-20	Sotetsu Koyamada	Principal Sensitivity Analysis
415	1-21	Shinya Suzumura	An exact post selection inference for combinatorial genomic interactions
458	1-22	Christopher Schymura	Binaural Sound Source Localisation using a Bayesian-network-based Blackboard System and Hypothesis-driven Feedback
205	1-23	David Heryanto	Incremental learning of neural network with knowledge distillation
466	1-24	Nir Rosenfeld	Discriminative Learning of Infection Models
468	1-25	Moritz Gerlach	spotlight Spectral Convergence of Empirical Graph Laplacians
57	1-26	Zipei Fan	A Spectral Approach to Human Mobility Modeling
476	1-27	Takoua Jendoubi	Bayesian Nonparametric method for metabolomics data fusion
351	1-28	Daniele Calandriello	Large scale Semi-Supervised Learning with On-Line Graph Sparsification (tentative)
484	1-29	Richard Lewis	Quantitative Structure-Activity Prediction (QSAR): Predicting the anticancer activity of compound given only its structure
508	1-30	Mohamed Abdalmoaty	Model selection in system identification
366	1-31	Kenshi Uchihashi	machine learning approach: connectomics
500	1-32	Dan Assouline	Machine Learning for Large Scale Rooftop Photovoltaic Potential - Swiss case.
119	1-33	Haotian Zhang	A Comaprision of Different Face Recognition Algorithms
124	1-34	Hiroshi Kajino	Active Learning for Multi-relational Data Construction
382	1-35	Joe Suzuki	A Bayesian Mutual Information Estimator and its Application to Independence Testing

ID	Poster ID	Author	Title
128	3-1	Jawad Tayyub	Qualitative and Quantitative Spatio-Temporal Relations in Daily Living Activity Recognition
261	3-2	Mario Michael Krell	Generalizing, Decoding, and Optimizing Support Vector Machine Classification
134	3-3	Amit Moscovich-Eiger	spotlight Fast calculation of boundary crossing probabilities for Poisson processes
172	3-4	Voot Tangkaratt	Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Dimension Reduction
522	3-5	Bartosz Krawczyk	Mining Massive and Streaming Multi-Class Data with Ensembles of One-Class Classifiers
395	3-6	Kodai Ueyoshi	FPGA-oriented massively parallel, scalable, and reconfigurable architectures for Restricted Boltzmann Machines towards deep learning systems
270	3-7	Kota Itoda	Causality Analysis of Group Behavior in Goal-type Ball Game
401	3-8	Riki Eto	Causal Piecewise Sparse Linear Models
533	3-9	Zenna Tavares	Abstract Metropolized Independent Sampling in Highly Constrained Probabilistic Programs
535	3-10	Anthony DeCostanzo	Random projections applied to modeling of neuronal turnover in the brain
152	3-11	Brian Cheung	Exploring Deep Space: Discovering Factors of Variation Learned in Deep Networks
537	3-12	Volodymyr Kuleshov	Statistical methods in genome phasing
290	3-14	Aqsa Shabbir	Machine learning in probability spaces for control and optimization in nuclear fusion plasmas
295	3-15	Stefano Martiniani	A new method for computing the volume of high dimensional manifolds: application to the basins of attraction of jammed soft spheres packings
44	3-16	Luca Celotti Herranz	why to active sense, and how
175	3-17	Jiuding Duan	Automating the Quantum Energy Prediction using Bayesian Optimization
305	3-18	Ehsan Imani	Multi-Modal Distance Metric learning Based on Stacked Auto-Encoders
306	3-19	Ashish Arora	ReCAPTCHA assisted OCR for Devanagari Texts
58	3-20	Reza Babanezhad Harikandeh	Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields
450	3-21	Ryo Iwaki	Minimizing the Variance of Actor's Update Rule by Using Eligibility Trace in Critic's Learning
325	3-22	Song Liu	Learning Structure of Partial Markov Random Field via Partitioned Ratio
198	3-23	Matthew Graham	Sub-space Hamiltonian Monte Carlo with a unimodal Boltzmann machine relaxation
77	3-24	Caner Hazirbas	FlowNet: Learning Optical Flow with Convolutional Networks
335	3-25	Meriem El Azami	spotlight Detection of epilepsy lesions as an outlier detection problem
212	3-26	Akshay Srinivasan	spotlight Graphical Newton
220	3-27	Marcello Rambaldi	spotlight Modelling market activity around macroeconomic news: a Hawkes-process approach
221	3-28	Esther Alberts	A Nonparametric Model for Estimating Tumor Growth in Longitudinal Image Sequences
357	3-29	Fajwel Fogel	SerialRank: spectral ranking using seriation
106	3-30	Yasmin Fathy	Large-Scale Discovery and Ranking for the Internet of Things (IoT) Data and Services
492	3-31	Sergey Paramonov	Logic Programming for Data Mining
367	3-32	Nicolas Flammarion	From Averaging to Acceleration, There is Only a Step-size
112	3-33	Joao Martins	Augmented Human Assistance
118	3-34	Simon Manschitz	Probabilistic Progress Prediction and Sequencing of Concurrent Movement Primitives
362	3-35	Massimo Silvetti	Reward value and prediction error in human medial frontal cortex: a model-based fMRI study