~/conference

MLconf Seattle 2017

date:2017-05-19
location:Seattle, United States
series:MLconf Seattle · 2 editions
editions:[MLconf Seattle 2015, MLconf Seattle 2017]
titleauthorlength
Ryan Calo, Assistant Professor, University of Washington at MLconf Seattle 2017Ryan Calo28m
Identifies three concrete policy problems: introducing due process for algorithmic decisions when courts and hospitals use opaque risk scores…
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Margaret Mitchell, Senior Research Scientist, Google at MLconf Seattle 2017Margaret Mitchell23m
Shows that image-caption models learn what humans mention not what’s visually true, because of reporting bias (a 2013 study found “murder” appears ~10× more…
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Serena Yeung, PhD Student, Stanford at MLconf Seattle 2017Serena Yeung28m
Presents three concrete systems: an RL-based action detector that observes 2% of frames and matches dense sliding-window accuracy by outputting where to look…
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Shiva Amiri, CEO, BioSymetrics at MLconf Seattle 2017Shiva Amiri26m
A deployable pipeline iterates hundreds of preprocessing and normalization parameter sets and uses real-time model building to reveal and minimize site effects…
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Luna Dong, Principal Scientist, Amazon at MLconf Seattle 2017Luna Dong22m
Knowledge Vault uses 15 extractors over 1B+ webpages to produce 3B+ triples with well‑calibrated probabilities (predicted 0.7 ≈ 70% accuracy). Knowledge‑Based…
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Mukund Narasimhan, Engineer, Pinterest at MLconf Seattle 2017Mukund Narasimhan24m
Pinterest models user interest at web scale, combining billions of Pins and 100 million Users and Boards to power recommendations. The team fuses unstructured…
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John Maxwell, Data Scientist, Nordstrom at MLconf Seattle 2017John Maxwell15m
Contextual bandits replace slow A/B tests by routing live traffic with epsilon-greedy exploration while learning offline via a reduction to cost‑sensitive…
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Andrew Musselman, Committer & PMC Member, Apache Mahout at MLconf Seattle 2017Andrew Musselman16m
Apache Mahout 0.13 provides a Scala R-like DSL (Samsara) that compiles linear-algebra expressions to multiple backends (Apache Spark, Apache Flink, H2O) and an…
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Scott Clark, CEO & Co-Founder, SigOpt at MLconf Seattle 2017Scott Clark26m
Claims Bayesian optimization using a Gaussian process surrogate and expected improvement acquisition beats grid and random search on real deep learning tasks…
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Hanie Sedghi, Research Scientist, Allen Institute at MLconf Seattle 2017Hanie Sedghi30m
Proposes an algorithm that recovers first-layer weight columns by forming cross-moments between labels and a third-order score function (mth-order derivatives…
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Byron Galbraith, Chief Data Scientist, Talla at MLconf Seattle 2017Byron Galbraith28m
A production conversational service desk sits on three pieces: a conversational knowledge base, a lightweight ticketing system and intelligent workflows, built…
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Garrett Goh, Scientist, Pacific Northwest National Lab at MLconf Seattle 2017Garrett Goh25m
Convolutional nets trained on molecule images derived from SMILES→image representations (using open-source decoders) predict HIV activity, Tox21 toxicity (12…
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Alex Korbonits, Data Scientist, RemitlyAlex Korbonits28m
Alex Korbonits is a Data Scientist at Remitly, Inc., where he works extensively on feature extraction and putting machine learning models into production…
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Ashrith Barthur, Security Scientist, H2o.ai at MLconf Seattle 2017Ashrith Barthur27m
Claims a production ML pipeline at H2O that uses time-bound features and heavy feature engineering (90% of effort) to spot AML behavior, trains interpretable…
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Tianqi Chen, Computer Science PhD Student, University of Washington at MLconf Seattle 2017Tianqi Chen24m
XGBoost adds monotonic constraints and a new histogram algorithm that gives 10x single-thread speedup and 4–7x multi-thread gains, plus a GPU module that…
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Sara Hooker & Sean McPherson, Delta Analytics at MLconf Seattle 2017Sara Hooker, Sean McPherson29m
Delta Analytics and Rainforest Connection deploy recycled cellphones called Guardians streaming 24/7 audio from sites in Ecuador Brazil and Peru and train a…
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