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.
