Women in Machine Learning 2015
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Posters Presenters

  1. Zelda Mariet and Suvrit Sra. Fixed-point algorithms for learning determinantal point processes
  2. David Danks, Sergey Plis and Cynthia Freeman. Agnostic (Causal) Structure Learning​
  3. Zi Wang, Bolei Zhou, Stefanie Jegelka and Leslie Kaelbling. Optimization as Estimation: on the Equivalence of MAP and Adaptive Heuristics for GP Optimization
  4. Elise Epaillard and Nizar Bouguila. A Change Detection Method in a Pair of Optic/Radar Images
  5. Soumya Pisupati. Age Estimation in Facial Images
  6. Sadaf Behlim, Tahir Syed and Yameen Malik. Directed Acyclic Graph of Saturated Trees for recovering an image from its local description
  7. Jinyan Guan, Kyle Simek, Ernesto Brau, Clayton Morrison, Emily Butler and Kobus Barnard. Bayesian Generative Modeling for Complex Dynamic Social Systems
  8. 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
  9. Maryam Bahojb Imani and Tahereh Pourhabibi. A Combined Feature Extraction Method Based on Wavelet in Persian Font Recognition
  10. 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
  11. Elena Tutubalina. Inferring Sentiment-Based Priors in Topic Models
  12. Olga Russakovsky, Amy Bearman, Vittorio Ferrari and Li Fei-Fei. What's the point: Semantic segmentation with point supervision
  13. Rachel Cummings, Stratis Ioannidis and Katrina Ligett. Truthful Linear Regression
  14. Meire Fortunato, Oriol Vinyals and Navdeep Jaitly. Pointer Networks
  15. Natalia Díaz Rodríguez and Lise Getoor. Hybrid Modeling of Uncertainty for Scalable Human Activity Recognition
  16. Anjali Silva, Gregory Downs, Yong-Mei Bi, Steven Rothstein and Sanjeena Dang. Identification of gene-networks from RNA sequencing studies using model-based clustering
  17. Xiaowei Hu. Query Complexity of Mirror Descent Algorithm for Bandit Convex Optimization
  18. 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
  19. Abhilasha Ravichander, Varshini Ramaseshan, Supriya Vijay and Subramanyam Natarajan. A Machine Learning Approach to Group Dynamic Analysis From A Sequence of Images
  20. Lea Frermann. A Bayesian Model of the Temporal Dynamics of Word Meaning
  21. Qingqing Huang and Sham Kakade. Super-Resolution Off the Grid
  22. Shaona Ghosh. Ising Bandits with Side Information
  23. Anastasia Podosinnikova, Francis Bach and Simon Lacoste-Julien. Rethinking LDA: Moment Matching for Discrete ICA
  24. Maren Mahsereci and Philipp Hennig. Probabilistic Line Searches for Stochastic Optimization
  25. Jessa Bekker, Guy Van den Broeck and Jesse Davis. Ordering-Based Search for Tractable Bayesian Networks
  26. Hana Ajakan, Pascal Germain, Hugo Larochelle, Francois Laviolette and Mario Marchand. Domain-Adversarial training of Neural Networks
  27. Wonmin Byeon. Image Analysis with Long Short-Term Memory Recurrent Neural Networks
  28. Farzaneh Mirzazadeh, Martha White, András György and Dale Schuurmans. Scalable Metric Learning for Co-embedding
  29. Kristen M. Altenburger and Andrew B Hall. Personal and Partisan Incumbency Effects in the Electoral Regression Discontinuity Design: A Principal Stratification Approach
  30. Gargi Datta, Rebecca Davidson, Sonia Leach and Michael Strong. Predicting drug resistance in Mycobacterium tuberculosis
  31. Rebecca Mieloszyk, Margaret Guo, George Verghese, Gary Andolfatto, Thomas Heldt and Baruch Krauss. Clustering of Capnogram Features to Track State Transitions During Procedural Sedation
  32. Bita Nejat, Giuseppe Carenini and Raymond Ng. A Semi-joint Model for Improving Discourse Parsing and Sentiment Analysis
  33. Joanne Shin and Todd Coleman. A Fully Bayesian Approach to Logistic Regression
  34. Jovana Mitrovic and Dino Sejdinovic. DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression
  35. Justina Zurauskiene and Christopher Yau. A multi-label classification approach to single cell state determination
  36. Amina Mollaysa, Pablo Strasser and Alexandros Kalousis. Learning with feature side information
  37. Sofia Michel and Boris Chidlovskii. Stochastic optimization of public transport schedules
  38. Annie En-Shiun Lee. Partitioning and Correlating Subgroup Characteristics from Aligned Pattern Clusters
  39. Elizabeth Lorenzi, Stephanie Brown and Katherine Heller. Prediction via clusters of CPT codes for improving surgical outcomes
  40. Ekaterina Kochmar. Detecting Learner Errors in the Choice of Content Words Using Compositional Distributional Semantics
  41. Allison Chaney, Hanna Wallach and David Blei. Who, What, When, Where, and Why? A Computational Approach to Understanding Historical Events Using State Department Cables
  42. Maria De-Arteaga. Canonical Autocorrelation Analysis for radiation threat detection
  43. Maria Antoniak, Eric Bell and Fei Xia. Extracting Topically Related Synonyms from Twitter
  44. Anahita Sadeghian and Biao Huang. Robust Probability Principal Component Analysis for Process Modeling Subject to Scaled Mixture Gaussian Noise
  45. Lachelle Stewart and Jeffery Heinz. Learning word structures from strings
  46. Jingjing Xie. Plankton Shadowgraph Classification with Deep Convolutional Neural Networks
  47. Victoria Hore, Ana Vinuela, Alfonso Buil, Julian Knight, Mark McCarthy, Kerrin Small and Jonathan Marchini. Tensor decompositions for analyzing multi-dimensional genetic data sets
  48. Elisabeth Baseman and David Jensen. Exploring Collective Behavior in Social Computation Through Relational Statistical Models
  49. Hao Ni, Terry Lyons and Daniel Levin. Learning from the past, predict the statistics for the future, learn an evolving system
  50. Rebecca Pullon, Lise Loerup, Peter Watkinson and Lionel Tarassenko. Modeling Postnatal Vital Sign Trends
  51. Nanyun Peng, Ryan Cotterell and Jason Eisner. Dual Decomposition Inference for Graphical Models over Strings
  52. Deborah Hanus and Finale Doshi. Using reinforcement learning to predict the effectiveness of HIV treatment in the presence of sparse data with high variance
  53. Maral Dadvar. Maximum Entropy Modeling of Bully Users in Social Networks
  54. Priya Govindan, Ruobing Chen, Katya Scheinberg and Soundararajan Srinivasan. Group Feature Selection: A Cost-sensitive and Scalable Solution
  55. Addison Mayberry, Yamin Thuzar Tun and Deepak Ganesan. CIDER: Enabling Robustness-Power Tradeoffs on a Computational Eyeglass
  56. Jayani Withanawasam and Sriyal Jayasinghe. Content Extraction and Context Inference based Information Retrieval
  57. 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
  58. Yun-Nung Chen. Unsupervised Learning and Modeling of Knowledge and Intent for Spoken Dialogue Systems
  59. 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
  60. Christina Teflioudi, Faraz Makari and Rainer Gemulla. Shared-Memory and Shared-Nothing Stochastic Gradient Descent Algorithms for Matrix Completion
  61. Alexandra Moringen. Behavioural modi in haptic exploration of an unstructured 3D display
  62. Subhashini Venugopalan. Sequence to sequence Video to text
  63. Pinar Yanardag. Deep Graph Kernels
  64. Lujie Chen, Artur Dubrawski, Marilyn Hravnak, Gilles Clermont and Michael Pinsky. Phenotyping risk trajectories for cardiorespiratory instability in critical care patients
  65. Konstantina Christakopoulou and Arindam Banerjee. Collaborative Ranking with a Push at the Top
  66. 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
  67. Olga Zamaraeva. Work in progress: Developing hybrid approaches in morphological analysis for precision grammars
  68. Yousra Bekhti, Alexandre Gramfort, Nicolas Zilber and Virginie van Wassenhove. Decoding the perceived coherence of visual motion using Ridge regression and ranking metric
  69. Sabina Tomkins and Lise Getoor. Contextual Air Conditioning Disaggregation with Probabilistic Soft Logic
  70. Katerina Gkirtzou and Matthew Blaschko. The pyramid quantized Weisfeiler-Lehman graph representation
  71. Ramoza Ahsan, Xiao Qin and Elke Rundensteiner. Interactive Temporal Association Analytics
  72. Sarah Mashayekhi and Steve Wilton. Stochastic Circuit Generator Using Machine Learning Techniques
  73. Catherine Huang and Paula Greve. Large Scale Graph Mining for Web Reputation Inference
  74. Nabanita De and V. Kalaichelvi. Object Recognition Using Machine Learning Techniques
  75. Nicolle Witte and James Costello. Developing robust drug sensitivity classifiers using multiple kernel learning for feature selection
  76. Madalina Fiterau and Artur Dubrawski. Theoretical Guarantees for the Construction of Informative Projection Ensembles Using kNN Classifiers
  77. Samira Ebrahimi Kahou, Vincent Michalski, Kishore Konda, Roland Memisevic and Chris Pal. Recurrent Neural Networks for Emotion Recognition in Video
  78. Jacquelyn Shelton, Jan Gasthaus, Zhenwen Dai, Joerg Luecke and Arthur Gretton. GP select: Accelerating EM using adaptive subspace preselection
  79. Jen Gong, Mohammed Saeed and John Guttag. Using Bag-of-Clinical Events Features for Predicting Mortality in LowAcuity Patients in the ICU
  80. 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
  81. Johanna Ernst, Reza Korshidi, Kazem Rahimi and Lionel Tarassenko. Repeated Measurement Risk Stratification for Patients with Chronic Heart Failure
  82. Asja Fischer and Christian Igel. A Bound for the Convergence Rate of Parallel Tempering for Sampling Restricted Boltzmann Machines
  83. Rodica Neamtu, Ramoza Ahsan, Elke Rundensteiner and Gabor Sarkozy. ONEX: Online Exploration of Time Series
  84. Phuc Nguyen, Monica Ngo and Susan Bush. Cluster analysis of gene expression data in tomato under aluminum stress
  85. Cansu Sen, Serike Cakmak, Kemal Tugrul Yesilbek and Metin Sezgin. SVM-based Sketch Recognition: Which Hyperparameter Interval to Try?
  86. Deshana Desai, Harsh Nisar and Vraj Delhivala. Inferring the strength and type of human relationships based on spatiotemporal data
  87. Farah Colchester, David Clifton, Patrick Thomson and Rob Hope. Predicting groundwater depth from handpump accelerometry using a hierarchy of heteroscedatic Gaussian processes
  88. Karen Ullrich. FeedForward Neural Networks for boundary detection in music structure Analysis
  89. Negar Ghourchian and Doina Precup. Learning Social Proximity from Location Data
  90. Natalia Neverova, Christian Wolf, Graham Taylor and Florian Nebout. Hand pose estimation by deep transductive learning
  91. Maja Rudolph, Joseph Ellis and David Blei. Objective Variables for Probabilistic Revenue Maximization in SecondPrice Auctions with Reserve
  92. Farideh Fazayeli and Arindam Banerjee. Direct Change Detection in Graphical Model Structure
  93. Hui Fen Tan, David Miller and James Savage. Proximity Score Matching: Using the Random Forest for Causal Inference
  94. Katherine Kinnaird. Structure-Based Comparisons for Sequential Data
  95. Angeliki Lazaridou, Nghia The Pham, Marco Marelli and Marco Baroni. Multimodal Language Learning and Reasoning
  96. Ines Marusic, James Worrell, Stefan Kiefer, Mahsa Shirmohammadi and Dmitry Chistikov. Nonnegative Matrix Factorization over Rational Numbers
  97. Naomi Saphra. Adapting Word Embeddings for Informal and Complex Domains with Matrix Factorization
  98. Bisakha Ray, Sean Heffron and Yindalon Aphinyanaphongs. Text Classification-based Automatic Recruitment of Patients for Clinical Trials: A Silver Standard-based Case Study
  99. Cathy Wu, Ece Kamar and Eric Horvitz. Clustering for weighted set packing problems
  100. Diana Cai, Nate Ackerman and Cameron Freer. Priors on exchangeable directed graphs
  101. Deepika Bablani. Design of a neuromorphic cognitive system for information processing
  102. Afsaneh Tabandehjooy and Jia Yuan Yu. Matching and Scheduling Algorithm for Ridesharing
  103. Yali Wan and Marina Meila. Community recovery guaranteed but under what conditions? A numerical comparison
  104. Noga Zaslavsky and Naftali Tishby. Learning Minimal Sufficient Representations in Deep Neural Networks
  105. Manasi Vartak, Matei Zaharia and Samuel Madden. Sherlock: a system to support fast iteration in model building
  106. Shashank Srivastava, Snigdha Chaturvedi and Tom Mitchell. Inferring Inter-personal Relations in Narrative Texts.
  107. Srinivasan Iyengar, Sandeep Kalra, Anushree Ghosh, David Irwin, Prashant Shenoy and Benjamin Marlin. iProgram: Inferring Smart Schedules for Dumb Thermostats
  108. Elaheh Momeni. Semantic Faceted Moderation of User-Generated Content
  109. Wenling Shang. On the Norm Preservation and Reconstruction Properties of Convolutional Neural Networks
  110. Caitlin Kuhlman. Distributed Local Outlier Factor in MapReduce
  111. Leila Wehbe and Tom Mitchell. A spatio-temporal map of reading processes in the brain
  112. Vidhya Murali. Music Recommendations At Spotify
  113. Linjie Li, Amanda Song, Vicente Malave, Gary W. Cottrell and Angela J. Yu. Extracting Human Face Similarity Judgments: Pairs or Triplets?
  114. Qing Sun and Dhruv Batra. SubmodBoxes: Near-Optimal Search for a Set of Diverse Object Proposals
  115. Alessandra Tosi and Neil Lawrence. Probabilistic Geometries for Generative Models
  116. Vartika Rai, Sakshee Vijay and Dipti Misra Sharma. Cross Lingual approach to Aspect Based Sentiment Analysis
  117. Sarah Brown. Machine Learning Methods for Computational Psychology
  118. Hande Topa. Overcoming over-fitting problems in Gaussian process models of multiple short time series
  119. Zhou Yu. Machine Learning in Multimodal Sequence Feature Fusion for Interactive Conversation Modeling
  120. Marcela Mendoza, Sanggyun Kim and Todd Coleman. Bayesian Inference for Mobile and Energy Efficient Applications
  121. Tanya Raghuvanshi, Shraddha Chaudhary, Sumeet Agarwal and Santanu Chaudhury. Learning Textureless Object Orientation in occlusion for an Automated Monocular Vision based System
  122. Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng and Fei-Fei Li. Visual Census: Using Cars to Study People and Society
  123. Brigit Schroeder, Daniel Detone and Andrew Rabinovich. Relocalization with Deep Metric Learning
  124. Anca Ralescu and Irene Diaz. Empirical Classifiers based on Geometric and Statistical Criteria
  125. Faiza Khan Khattak and Ansaf Salleb-Aouissi. An Item Response Theory (IRT) Like Approach to Crowd labeling
  126. 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
  127. Courtney Napoles. Predicting College Essay Scores in the Presence of Grader Bias
  128. Yan Zheng and Jeff Phillips. Subsampling in Smoothed Range Spaces and Large Scale Kernel Density Estimates
  129. Xin Lu Tan and Po-Ling Loh. High-dimensional robust precision matrix estimation: Cellwise corruption under epsilon-contamination
  130. 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
  131. Saumya Jetley, Bernardino Romera-Paredes, Sadeep Jayasumana and Philip Torr. Prototypical priors: from improved classification to zero shot learning.
  132. 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.