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
- Columbia UniversityUS1 paper
- Consejo Superior de Investigaciones CientíficasES1 paper
- Duke UniversityUS1 paper
- Financial Research (Hungary)HU1 paper
- Georgia State UniversityUS1 paper
- IBM Research - AlmadenUS1 paper
4 papers · 1 filter
Outlier-Robust Optimal Transport
Debarghya Mukherjee, Aritra Guha, Justin Solomon +2
Optimal transport (OT) measures distances between distributions in a way that depends on the geometry of the sample space. In light of recent advances in computational OT, OT dista…
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…
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…
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…