Papers accepted from Yale for the Thirty-third Conference on Neural Information Processing Systems

September 6, 2019

There have been 9 papers accepted from Yale for NeurlPS 2019, to be held in Vancouver on December 8-14. They are:

  • Online sampling from log-concave distributions Holden Lee (Princeton University) · Oren Mangoubi (EPFL) · Nisheeth Vishnoi (Yale University)
  • Visualizing the PHATE of Neural Networks Scott Gigante (Yale University) · Adam S Charles (Princeton University) · Smita Krishnaswamy (Yale University) · Gal Mishne (Yale)
  • Adaptive Sequence Submodularity Marko Mitrovic (Yale University) · Ehsan Kazemi (Yale) · Moran Feldman (Open University of Israel) · Andreas Krause (ETHZurich) · Amin Karbasi (Yale)
  • Coresets for Clustering with Fairness Constraints Lingxiao Huang (EPFL) · Shaofeng H.-C. Jiang (Weizmann Institute of Science) · Nisheeth Vishnoi (Yale University)
  • Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback Mingrui Zhang (Yale University) · Lin Chen (Yale University) · Hamed Hassani (UPenn) · Amin Karbasi (Yale)
  • Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond Lin Chen (Yale University) · Hossein Esfandiari (Google Research) · Gang Fu (Google Inc) · Vahab Mirrokni (Google Research NYC)
  • Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match Amin Karbasi (Yale) · Hamed Hassani (UPenn) · Aryan Mokhtari (UT Austin) · Zebang Shen (Zhejiang University)
  • Assessing Social and Intersectional Biases in Contextualized Word Representations Yi Chern Tan (Yale University) · L. Elisa Celis (Yale University)
  • Surfing: Iterative Optimization Over Incrementally Trained Deep Networks Ganlin Song (Yale University) · Zhou Fan (Yale Univ) · John Lafferty (Yale University)

Congratulations to all! To see a complete list of accepted papers please visit https://neurips.cc/Conferences/2019/AcceptedPapersInitial.

The Neural Information Processing Systems Foundation is a non-profit corporation whose purpose is to foster the exchange of research on neural information processing systems in their biological, technological, mathematical, and theoretical aspects. Neural information processing is a field which benefits from a combined view of biological, physical, mathematical, and computational sciences.

The primary focus of the Foundation is the presentation of a continuing series of professional meetings known as the Neural Information Processing Systems Conference, held over the years at various locations in the United States, Canada and Spain.

Machine Learning at Yale