NIPS Proceedingsβ

Zhi-Hua Zhou

15 Papers

  • Adaptive Online Learning in Dynamic Environments (2018)
  • $\ell_1$-regression with Heavy-tailed Distributions (2018)
  • Multi-Layered Gradient Boosting Decision Trees (2018)
  • Preference Based Adaptation for Learning Objectives (2018)
  • Unorganized Malicious Attacks Detection (2018)
  • Improved Dynamic Regret for Non-degenerate Functions (2017)
  • Learning with Feature Evolvable Streams (2017)
  • Subset Selection under Noise (2017)
  • What Makes Objects Similar: A Unified Multi-Metric Learning Approach (2016)
  • Subset Selection by Pareto Optimization (2015)
  • Top Rank Optimization in Linear Time (2014)
  • Speedup Matrix Completion with Side Information: Application to Multi-Label Learning (2013)
  • Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison (2012)
  • Active Learning by Querying Informative and Representative Examples (2010)
  • Multi-View Active Learning in the Non-Realizable Case (2010)