NIPS Proceedingsβ

Sewoong Oh

16 Papers

  • Discovering Potential Influence via Information Bottleneck (2017)
  • Estimating Mutual Information for Discrete-Continuous Mixtures (2017)
  • Matrix Norm Estimation from a Few Entries (2017)
  • Optimal Sample Complexity of M-wise Data for Top-K Ranking (2017)
  • Achieving budget-optimality with adaptive schemes in crowdsourcing (2016)
  • Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation (2016)
  • Computational and Statistical Tradeoffs in Learning to Rank (2016)
  • Collaboratively Learning Preferences from Ordinal Data (2015)
  • Secure Multi-party Differential Privacy (2015)
  • Extremal Mechanisms for Local Differential Privacy (2014)
  • Learning Mixed Multinomial Logit Model from Ordinal Data (2014)
  • Minimax-optimal Inference from Partial Rankings (2014)
  • Provable Tensor Factorization with Missing Data (2014)
  • Iterative ranking from pair-wise comparisons (2012)
  • Iterative Learning for Reliable Crowdsourcing Systems (2011)
  • Matrix Completion from Noisy Entries (2009)