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Sixth Annual Machine Learning Symposium

Sixth Annual Machine Learning Symposium

TechTalks from event: Sixth Annual Machine Learning Symposium

This event was organized and sponsored by The New York Academy of Sciences.

Spotlight Talks

A Reliable, Effective Terascale Linear Learning System Authors: Miroslav Dudik, PhD, Yahoo! Research
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Online Clustering with Experts Authors: Anna Choromanska, Ph.D., Claire Monteleoni, Ph.D., Columbia University
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Online Learning for Mixed Membership Network Models Authors: Prem Gopalan, Princeton University
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Planning in Reward Rich Domains via PAC Bandits Authors: Sergiu Goschin, Rutgers University
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The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Authors: Matthew D. Hoffman, PhD,Columbia University
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Place Recommendation with Implicit Spatial Feedback Authors: Berk Kapicioglu, Princeton University, Sense Networks
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Hierarchically Supervised Latent Dirichlet Allocation Authors: Adler Perotte, MD,Columbia University
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Image Super-Resolution via Dictionary Learning Authors: Gungor Polatkan, Princeton University
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MirroRank: Convex Aggregation and Online Ranking with the Mirror Descent Authors: Benoit Rostykus, Ecole Centrale Paris
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Preserving Proximity Relations and Minimizing Edge-crossings in Graph Embeddings Authors: Amina Shabbeer, Rensselaer Polytechnic Institute
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A Reinforcement Learning Approach to Variational Inference Authors: David Wingate, PhD,Massachusetts Institute of Technology
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Opportunistic Approachability Authors: Andrey Bernstein, Columbia University
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Large-Scale Sparse Kernel Logistic Regression with a comparative study on optimization algorithms Authors: Shyam S. Chandramouli, Columbia University
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Large-scale Collection Threading using Structured k-DPPs Authors: Jennifer Gillenwater, University of Pennsylvania
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Efficient Learning of Word Embeddings via Canonical Correlation Analysis Authors: Paramveer Dhillon, University of Pennsylvania
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