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

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.

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