List of Poster Presenters

Posters Presenters

Zelda Mariet and Suvrit Sra. Fixed-point algorithms for learning determinantal point processes
David Danks, Sergey Plis and Cynthia Freeman. Agnostic (Causal) Structure Learning
Zi Wang, Bolei Zhou, Stefanie Jegelka and Leslie Kaelbling. Optimization as Estimation: on the Equivalence of MAP and Adaptive Heuristics for GP Optimization
Elise Epaillard and Nizar Bouguila. A Change Detection Method in a Pair of Optic/Radar Images
Soumya Pisupati. Age Estimation in Facial Images
Sadaf Behlim, Tahir Syed and Yameen Malik. Directed Acyclic Graph of Saturated Trees for recovering an image from its local description
Jinyan Guan, Kyle Simek, Ernesto Brau, Clayton Morrison, Emily Butler and Kobus Barnard. Bayesian Generative Modeling for Complex Dynamic Social Systems
Malvina Josephidou, Andy Lynch and Simon Tavaré. A Bayesian framework for joint inference of somatic point mutations from sequencing data of multiple related tumour samples
Maryam Bahojb Imani and Tahereh Pourhabibi. A Combined Feature Extraction Method Based on Wavelet in Persian Font Recognition
Sébastien Giguère, Amélie Rolland, François Laviolette and Mario Marchand. Algorithms for the Hard Pre-Image Problem of String Kernels and the General Problem of String Prediction
Elena Tutubalina. Inferring Sentiment-Based Priors in Topic Models
Olga Russakovsky, Amy Bearman, Vittorio Ferrari and Li Fei-Fei. What's the point: Semantic segmentation with point supervision
Rachel Cummings, Stratis Ioannidis and Katrina Ligett. Truthful Linear Regression
Meire Fortunato, Oriol Vinyals and Navdeep Jaitly. Pointer Networks
Natalia Díaz Rodríguez and Lise Getoor. Hybrid Modeling of Uncertainty for Scalable Human Activity Recognition
Anjali Silva, Gregory Downs, Yong-Mei Bi, Steven Rothstein and Sanjeena Dang. Identification of gene-networks from RNA sequencing studies using model-based clustering
Xiaowei Hu. Query Complexity of Mirror Descent Algorithm for Bandit Convex Optimization
Jiexin Wang, Eiji Uchibe and Kenji Doya. EM-based Policy Hyper Parameter Exploration for A Two-wheeled Smartphone Robot Learning to Balancing and Standing-up
Abhilasha Ravichander, Varshini Ramaseshan, Supriya Vijay and Subramanyam Natarajan. A Machine Learning Approach to Group Dynamic Analysis From A Sequence of Images
Lea Frermann. A Bayesian Model of the Temporal Dynamics of Word Meaning
Qingqing Huang and Sham Kakade. Super-Resolution Off the Grid
Shaona Ghosh. Ising Bandits with Side Information
Anastasia Podosinnikova, Francis Bach and Simon Lacoste-Julien. Rethinking LDA: Moment Matching for Discrete ICA
Maren Mahsereci and Philipp Hennig. Probabilistic Line Searches for Stochastic Optimization
Jessa Bekker, Guy Van den Broeck and Jesse Davis. Ordering-Based Search for Tractable Bayesian Networks
Hana Ajakan, Pascal Germain, Hugo Larochelle, Francois Laviolette and Mario Marchand. Domain-Adversarial training of Neural Networks
Wonmin Byeon. Image Analysis with Long Short-Term Memory Recurrent Neural Networks
Farzaneh Mirzazadeh, Martha White, András György and Dale Schuurmans. Scalable Metric Learning for Co-embedding
Kristen M. Altenburger and Andrew B Hall. Personal and Partisan Incumbency Effects in the Electoral Regression Discontinuity Design: A Principal Stratification Approach
Gargi Datta, Rebecca Davidson, Sonia Leach and Michael Strong. Predicting drug resistance in Mycobacterium tuberculosis
Rebecca Mieloszyk, Margaret Guo, George Verghese, Gary Andolfatto, Thomas Heldt and Baruch Krauss. Clustering of Capnogram Features to Track State Transitions During Procedural Sedation
Bita Nejat, Giuseppe Carenini and Raymond Ng. A Semi-joint Model for Improving Discourse Parsing and Sentiment Analysis
Joanne Shin and Todd Coleman. A Fully Bayesian Approach to Logistic Regression
Jovana Mitrovic and Dino Sejdinovic. DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression
Justina Zurauskiene and Christopher Yau. A multi-label classification approach to single cell state determination
Amina Mollaysa, Pablo Strasser and Alexandros Kalousis. Learning with feature side information
Sofia Michel and Boris Chidlovskii. Stochastic optimization of public transport schedules
Annie En-Shiun Lee. Partitioning and Correlating Subgroup Characteristics from Aligned Pattern Clusters
Elizabeth Lorenzi, Stephanie Brown and Katherine Heller. Prediction via clusters of CPT codes for improving surgical outcomes
Ekaterina Kochmar. Detecting Learner Errors in the Choice of Content Words Using Compositional Distributional Semantics
Allison Chaney, Hanna Wallach and David Blei. Who, What, When, Where, and Why? A Computational Approach to Understanding Historical Events Using State Department Cables
Maria De-Arteaga. Canonical Autocorrelation Analysis for radiation threat detection
Maria Antoniak, Eric Bell and Fei Xia. Extracting Topically Related Synonyms from Twitter
Anahita Sadeghian and Biao Huang. Robust Probability Principal Component Analysis for Process Modeling Subject to Scaled Mixture Gaussian Noise
Lachelle Stewart and Jeffery Heinz. Learning word structures from strings
Jingjing Xie. Plankton Shadowgraph Classification with Deep Convolutional Neural Networks
Victoria Hore, Ana Vinuela, Alfonso Buil, Julian Knight, Mark McCarthy, Kerrin Small and Jonathan Marchini. Tensor decompositions for analyzing multi-dimensional genetic data sets
Elisabeth Baseman and David Jensen. Exploring Collective Behavior in Social Computation Through Relational Statistical Models
Hao Ni, Terry Lyons and Daniel Levin. Learning from the past, predict the statistics for the future, learn an evolving system
Rebecca Pullon, Lise Loerup, Peter Watkinson and Lionel Tarassenko. Modeling Postnatal Vital Sign Trends
Nanyun Peng, Ryan Cotterell and Jason Eisner. Dual Decomposition Inference for Graphical Models over Strings
Deborah Hanus and Finale Doshi. Using reinforcement learning to predict the effectiveness of HIV treatment in the presence of sparse data with high variance
Maral Dadvar. Maximum Entropy Modeling of Bully Users in Social Networks
Priya Govindan, Ruobing Chen, Katya Scheinberg and Soundararajan Srinivasan. Group Feature Selection: A Cost-sensitive and Scalable Solution
Addison Mayberry, Yamin Thuzar Tun and Deepak Ganesan. CIDER: Enabling Robustness-Power Tradeoffs on a Computational Eyeglass
Jayani Withanawasam and Sriyal Jayasinghe. Content Extraction and Context Inference based Information Retrieval
Tong Wang, Cynthia Rudin, Finale Doshi-Velez, Yimin Liu, Erica Klampfl and Perry MacNeille. Bayesian Or's of And's for Interpretable Classification, with Application to Context-Aware Recommender Systems
Yun-Nung Chen. Unsupervised Learning and Modeling of Knowledge and Intent for Spoken Dialogue Systems
Serena Yeung, Olga Russakovsky, Ning Jin, Mykhaylo Andriluka, Greg Mori and Fei-Fei Li. Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos
Christina Teflioudi, Faraz Makari and Rainer Gemulla. Shared-Memory and Shared-Nothing Stochastic Gradient Descent Algorithms for Matrix Completion
Alexandra Moringen. Behavioural modi in haptic exploration of an unstructured 3D display
Subhashini Venugopalan. Sequence to sequence Video to text
Pinar Yanardag. Deep Graph Kernels
Lujie Chen, Artur Dubrawski, Marilyn Hravnak, Gilles Clermont and Michael Pinsky. Phenotyping risk trajectories for cardiorespiratory instability in critical care patients
Konstantina Christakopoulou and Arindam Banerjee. Collaborative Ranking with a Push at the Top
Wuyang Dai, Theodora S. Brisimi, William G. Adams, Theofanie Mela, Venkatesh Saligrama and Ioannis Ch Paschalidis. Prediction of hospitalization due to heart diseases by supervised learning methods
Olga Zamaraeva. Work in progress: Developing hybrid approaches in morphological analysis for precision grammars
Yousra Bekhti, Alexandre Gramfort, Nicolas Zilber and Virginie van Wassenhove. Decoding the perceived coherence of visual motion using Ridge regression and ranking metric
Sabina Tomkins and Lise Getoor. Contextual Air Conditioning Disaggregation with Probabilistic Soft Logic
Katerina Gkirtzou and Matthew Blaschko. The pyramid quantized Weisfeiler-Lehman graph representation
Ramoza Ahsan, Xiao Qin and Elke Rundensteiner. Interactive Temporal Association Analytics
Sarah Mashayekhi and Steve Wilton. Stochastic Circuit Generator Using Machine Learning Techniques
Catherine Huang and Paula Greve. Large Scale Graph Mining for Web Reputation Inference
Nabanita De and V. Kalaichelvi. Object Recognition Using Machine Learning Techniques
Nicolle Witte and James Costello. Developing robust drug sensitivity classifiers using multiple kernel learning for feature selection
Madalina Fiterau and Artur Dubrawski. Theoretical Guarantees for the Construction of Informative Projection Ensembles Using kNN Classifiers
Samira Ebrahimi Kahou, Vincent Michalski, Kishore Konda, Roland Memisevic and Chris Pal. Recurrent Neural Networks for Emotion Recognition in Video
Jacquelyn Shelton, Jan Gasthaus, Zhenwen Dai, Joerg Luecke and Arthur Gretton. GP select: Accelerating EM using adaptive subspace preselection
Jen Gong, Mohammed Saeed and John Guttag. Using Bag-of-Clinical Events Features for Predicting Mortality in LowAcuity Patients in the ICU
Fariba Yousefi, Zhenwen Dai, Qing Zhong, Peter Wild, Carl Henrik Ek and Neil Lawrence. An Unsupervised Approach for Prostate Cancer Diagnosis from Tissue Microarray Images
Johanna Ernst, Reza Korshidi, Kazem Rahimi and Lionel Tarassenko. Repeated Measurement Risk Stratification for Patients with Chronic Heart Failure
Asja Fischer and Christian Igel. A Bound for the Convergence Rate of Parallel Tempering for Sampling Restricted Boltzmann Machines
Rodica Neamtu, Ramoza Ahsan, Elke Rundensteiner and Gabor Sarkozy. ONEX: Online Exploration of Time Series
Phuc Nguyen, Monica Ngo and Susan Bush. Cluster analysis of gene expression data in tomato under aluminum stress
Cansu Sen, Serike Cakmak, Kemal Tugrul Yesilbek and Metin Sezgin. SVM-based Sketch Recognition: Which Hyperparameter Interval to Try?
Deshana Desai, Harsh Nisar and Vraj Delhivala. Inferring the strength and type of human relationships based on spatiotemporal data
Farah Colchester, David Clifton, Patrick Thomson and Rob Hope. Predicting groundwater depth from handpump accelerometry using a hierarchy of heteroscedatic Gaussian processes
Karen Ullrich. FeedForward Neural Networks for boundary detection in music structure Analysis
Negar Ghourchian and Doina Precup. Learning Social Proximity from Location Data
Natalia Neverova, Christian Wolf, Graham Taylor and Florian Nebout. Hand pose estimation by deep transductive learning
Maja Rudolph, Joseph Ellis and David Blei. Objective Variables for Probabilistic Revenue Maximization in SecondPrice Auctions with Reserve
Farideh Fazayeli and Arindam Banerjee. Direct Change Detection in Graphical Model Structure
Hui Fen Tan, David Miller and James Savage. Proximity Score Matching: Using the Random Forest for Causal Inference
Katherine Kinnaird. Structure-Based Comparisons for Sequential Data
Angeliki Lazaridou, Nghia The Pham, Marco Marelli and Marco Baroni. Multimodal Language Learning and Reasoning
Ines Marusic, James Worrell, Stefan Kiefer, Mahsa Shirmohammadi and Dmitry Chistikov. Nonnegative Matrix Factorization over Rational Numbers
Naomi Saphra. Adapting Word Embeddings for Informal and Complex Domains with Matrix Factorization
Bisakha Ray, Sean Heffron and Yindalon Aphinyanaphongs. Text Classification-based Automatic Recruitment of Patients for Clinical Trials: A Silver Standard-based Case Study
Cathy Wu, Ece Kamar and Eric Horvitz. Clustering for weighted set packing problems
Diana Cai, Nate Ackerman and Cameron Freer. Priors on exchangeable directed graphs
Deepika Bablani. Design of a neuromorphic cognitive system for information processing
Afsaneh Tabandehjooy and Jia Yuan Yu. Matching and Scheduling Algorithm for Ridesharing
Yali Wan and Marina Meila. Community recovery guaranteed but under what conditions? A numerical comparison
Noga Zaslavsky and Naftali Tishby. Learning Minimal Sufficient Representations in Deep Neural Networks
Manasi Vartak, Matei Zaharia and Samuel Madden. Sherlock: a system to support fast iteration in model building
Shashank Srivastava, Snigdha Chaturvedi and Tom Mitchell. Inferring Inter-personal Relations in Narrative Texts.
Srinivasan Iyengar, Sandeep Kalra, Anushree Ghosh, David Irwin, Prashant Shenoy and Benjamin Marlin. iProgram: Inferring Smart Schedules for Dumb Thermostats
Elaheh Momeni. Semantic Faceted Moderation of User-Generated Content
Wenling Shang. On the Norm Preservation and Reconstruction Properties of Convolutional Neural Networks
Caitlin Kuhlman. Distributed Local Outlier Factor in MapReduce
Leila Wehbe and Tom Mitchell. A spatio-temporal map of reading processes in the brain
Vidhya Murali. Music Recommendations At Spotify
Linjie Li, Amanda Song, Vicente Malave, Gary W. Cottrell and Angela J. Yu. Extracting Human Face Similarity Judgments: Pairs or Triplets?
Qing Sun and Dhruv Batra. SubmodBoxes: Near-Optimal Search for a Set of Diverse Object Proposals
Alessandra Tosi and Neil Lawrence. Probabilistic Geometries for Generative Models
Vartika Rai, Sakshee Vijay and Dipti Misra Sharma. Cross Lingual approach to Aspect Based Sentiment Analysis
Sarah Brown. Machine Learning Methods for Computational Psychology
Hande Topa. Overcoming over-fitting problems in Gaussian process models of multiple short time series
Zhou Yu. Machine Learning in Multimodal Sequence Feature Fusion for Interactive Conversation Modeling
Marcela Mendoza, Sanggyun Kim and Todd Coleman. Bayesian Inference for Mobile and Energy Efficient Applications
Tanya Raghuvanshi, Shraddha Chaudhary, Sumeet Agarwal and Santanu Chaudhury. Learning Textureless Object Orientation in occlusion for an Automated Monocular Vision based System
Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng and Fei-Fei Li. Visual Census: Using Cars to Study People and Society
Brigit Schroeder, Daniel Detone and Andrew Rabinovich. Relocalization with Deep Metric Learning
Anca Ralescu and Irene Diaz. Empirical Classifiers based on Geometric and Statistical Criteria
Faiza Khan Khattak and Ansaf Salleb-Aouissi. An Item Response Theory (IRT) Like Approach to Crowd labeling
Genna Gliner, Yoson Park, Casey Brown and Barbara Engelhardt. Investigation of sparsity inducing priors for over-dispersed Poisson generalized linear models applied to large-scale gene expression studies
Courtney Napoles. Predicting College Essay Scores in the Presence of Grader Bias
Yan Zheng and Jeff Phillips. Subsampling in Smoothed Range Spaces and Large Scale Kernel Density Estimates
Xin Lu Tan and Po-Ling Loh. High-dimensional robust precision matrix estimation: Cellwise corruption under epsilon-contamination
Joseph L. Austerweil, Stephen Brawner, Amy Greenwald, Elizabeth Hilliard, Mark Ho, Michael L. Littman, James MacGlashan and Carl Trimbach. Representing and Learning Social Norms: A Key to Human-Machine Collaboration
Saumya Jetley, Bernardino Romera-Paredes, Sadeep Jayasumana and Philip Torr. Prototypical priors: from improved classification to zero shot learning.
Naghmeh Ghazaleh, Wiestke Van der Zwaag, Raphael Maire, Melissa Saenz and Dimitri Van De Ville. Detection of hyperacusis condition in tinnitus patients based on PLSC features that link audiogram and fMRI tonotopy responses.