Publications

Books and Monographs




  • Daniel P. Palomar and Yonina C. Eldar, Eds., Convex Optimization in Signal Processing and Communications, Cambridge University Press, 2009. 📕




Book Chapters


Journal Papers 1


2022
  • José Vinícius de M. Cardoso, Jiaxi Ying, and Daniel P. Palomar, “Learning Bipartite Graphs: Heavy Tails and Multiple Components,” Advances in Neural Information Processing Systems (NeurIPS), New Orleans, LA, USA, Dec. 2022. [25.6% acceptance rate]

  • Rui Zhou, Jiaxi Ying, and Daniel P. Palomar, “Covariance Matrix Estimation Under Low-Rank Factor Model with Nonnegative Correlations,” IEEE Trans. on Signal Processing, vol. 70, pp. 4020-4030, Aug. 2022.

  • Xiwen Wang, Jiaxi Ying, José Vinícius de M. Cardoso, and Daniel P. Palomar, “Efficient Algorithms for General Isotone Optimization,” in The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), Feb. 2022. [15% acceptance rate]

2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
2005
2004
2003
Pre-2003

PhD Dissertation



  1. The list includes papers published at the conferences NeurIPS, AAAI, and AISTATS with low acceptance rate around 15%-30%. ↩︎