416 citations
- IBM (United States)US5 papers
- Massachusetts Institute of TechnologyUS4 papers
- University of MichiganUS3 papers
- ETH ZurichCH2 papers
- Microsoft Research (United Kingdom)GB2 papers
- Advanced Micro Devices (United States)US1 paper
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Showing 2020 · cs.LGShow all
3 papers · 2 filters
cs.LG2020★ 12 cited
Adam: A Stochastic Method with Adaptive Variance Reduction
Mingrui Liu, Wei Zhang, Francesco Orabona +1
Adam is a widely used stochastic optimization method for deep learning applications. While practitioners prefer Adam because it requires less parameter tuning, its use is problemat…
cs.LG2020★ 4 cited
TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series
Yang Jiao, Kai Yang, Shaoyu Dou +3
Multivariate time series (MTS) data are becoming increasingly ubiquitous in diverse domains, e.g., IoT systems, health informatics, and 5G networks. To obtain an effective represen…
cs.LG2020★ 15 cited
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective
Kartik Ahuja, Jun Wang, Amit Dhurandhar +2
Recently, invariant risk minimization (IRM) was proposed as a promising solution to address out-of-distribution (OOD) generalization. However, it is unclear when IRM should be pref…