Eight papers from Yale accepted at NeurIPS 2020 Conference

October 14, 2020

Eight papers from Yale have been accepted at this year’s Thirty-fourth Conference on Neural Information Processing Systems. NeurIPS 2020 is a virtual-only conference, to be held on December 6-12, 2020.


  • AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
    Juntang Zhuang (Yale University) · Tommy Tang (University of Illinois Urbana-Champaign) · Sekhar C Tatikonda (Yale University) · Nicha Dvornek (Yale University) · Yifan Ding (University of Central Florida) · Xenophon Papademetris (Yale University) · James Duncan (Yale University)
  • Submodular Maximization Through Barrier Functions
    Ashwinkumar Badanidiyuru (Google Research) · Amin Karbasi (Yale) · Ehsan Kazemi (Google) · Jan Vondrak (Stanford University)
  • Continuous Submodular Maximization: Beyond DR-Submodularity
    Moran Feldman (University of Haifa) · Amin Karbasi (Yale)
  • Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition
    Lin Chen (University of California, Berkeley) · Qian Yu (University of Southern California) · Hannah Lawrence (Flatiron Institute) · Amin Karbasi (Yale)
  • Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks
    Zhou Fan (Yale University) · Zhichao Wang (UC San Diego) 
  • Coresets for Regressions with Panel Data
    Lingxiao Huang (Huawei) · K Sudhir (Yale University) · Nisheeth Vishnoi (Yale University)  
  • Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence
    Bastian Rieck (ETH Zurich) · Tristan Yates (Yale University) · Christian Bock (ETH Zurich) · Karsten Borgwardt (ETH Zurich) · Guy Wolf (Université de Motréal; Mila) · Nicholas Turk-Browne (Yale University) · Smita Krishnaswamy (Yale University)
  • Online MAP Inference of Determinantal Point Processes
    Aditya Bhaskara (University of Utah) · Amin Karbasi (Yale) · Silvio Lattanzi (Google Research) · Morteza Zadimoghaddam (Google Research)