| 2025 | ICASSP | FDR-Controlled Portfolio Optimization for Sparse Financial Index Tracking. | Jasin Machkour, Daniel P. Palomar, Michael Muma |
| 2024 | ACSSC | Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach. | Yifan Yu, Shengjie Xiu, Daniel P. Palomar |
| 2024 | ICASSP | Joint Signal Recovery and Graph Learning from Incomplete Time-Series. | Amirhossein Javaheri, Arash Amini, Farokh Marvasti, Daniel P. Palomar |
| 2024 | ICASSP | Sparse PCA with False Discovery Rate Controlled Variable Selection. | Jasin Machkour, Arnaud Breloy, Michael Muma, Daniel P. Palomar, Frdric Pascal |
| 2023 | ICASSP | Estimating Normalized Graph Laplacians in Financial Markets. | Jos Vincius de Miranda Cardoso, Jiaxi Ying, Sandeep Kumar, Daniel P. Palomar |
| 2023 | ICML | Adaptive Estimation of Graphical Models under Total Positivity. | Jiaxi Ying, Jos Vincius de Miranda Cardoso, Daniel P. Palomar |
| 2022 | AAAI | Efficient Algorithms for General Isotone Optimization. | Xiwen Wang, Jiaxi Ying, Jos Vincius de Miranda Cardoso, Daniel P. Palomar |
| 2021 | ACSSC | A Fast Algorithm for Graph Learning under Attractive Gaussian Markov Random Fields. | Jiaxi Ying, Jos Vincius de Miranda Cardoso, Daniel P. Palomar |
| 2021 | AISTATS | Minimax Estimation of Laplacian Constrained Precision Matrices. | Jiaxi Ying, Jos Vincius de Miranda Cardoso, Daniel P. Palomar |
| 2021 | ICASSP | Parameter Estimation for Student's t VAR Model with Missing Data. | Rui Zhou, Junyan Liu, Sandeep Kumar, Daniel P. Palomar |
| 2020 | ACSSC | Learning Undirected Graphs in Financial Markets. | Jos Vincius de Miranda Cardoso, Daniel P. Palomar |
| 2020 | ICASSP | M-Estimators of Scatter with Eigenvalue Shrinkage. | Esa Ollila, Daniel P. Palomar, Frdric Pascal |
| 2020 | ICASSP | A Theoretical Basis for Practitioners Heuristic 1/N and Long-Only Quintile Portfolio. | Rui Zhou, Daniel P. Palomar |
| 2019 | ACSSC | Bipartite Structured Gaussian Graphical Modeling via Adjacency Spectral Priors. | Sandeep Kumar, Jiaxi Ying, Jos Vincius de Miranda Cardoso, Daniel P. Palomar |
| 2019 | ICASSP | Unified Framework for Minimax MIMO Transmit Beampattern Matching under Waveform Constraints. | Rui Zhou, Ziping Zhao, Daniel P. Palomar |
| 2018 | ACSSC | Distributed optimization for Generalized Phase Retrieval Over Networks. | Ziping Zhao, Songtao Lu, Mingyi Hong, Daniel P. Palomar |
| 2018 | ICASSP | Parameter Estimation of Heavy-Tailed Random Walk Model from Incomplete Data. | Junyan Liu, Sandeep Kumar, Daniel P. Palomar |
| 2018 | ICASSP | MIMO Transmit Beampattern Matching Under Waveform Constraints. | Ziping Zhao, Daniel P. Palomar |
| 2016 | ACSSC | Mean-reverting portfolio design via majorization-minimization method. | Ziping Zhao, Daniel P. Palomar |
| 2016 | ICASSP | Optimal design of constant-modulus channel training sequences. | Zhongju Wang, Prabhu Babu, Daniel P. Palomar |
| 2016 | PIMRC | SWIPT techniques for multiuser MIMO broadcast systems. | Javier Rubio, Antonio Pascual-Iserte, Daniel P. Palomar, Andrea Goldsmith |
| 2015 | ICASSP | Optimization methods for sequence design with low autocorrelation sidelobes. | Junxiao Song, Prabhu Babu, Daniel P. Palomar |
| 2014 | ACSSC | A fast algorithm for sparse generalized eigenvalue problem. | Junxiao Song, Prabhu Babu, Daniel P. Palomar |
| 2014 | ACSSC | An online parallel algorithm for spectrum sensing in cognitive radio networks. | Yang Yang, Mengyi Zhang, Marius Pesavento, Daniel P. Palomar |
| 2014 | ICASSP | Convex separable problems with linear and box constraints. | Antonio Alberto D'Amico, Luca Sanguinetti, Daniel P. Palomar |
| 2013 | ACSSC | Robust order execution under box uncertainty sets. | Yiyong Feng, Daniel P. Palomar |
| 2013 | GLOBECOM | Robust MIMO precoding for the schatten norm based channel uncertainty sets. | Jiaheng Wang, Mats Bengtsson, Bjrn E. Ottersten, Daniel P. Palomar |
| 2013 | ICASSP | Decomposition by partial linearization in multiuser systems. | Gesualdo Scutari, Francisco Facchinei, Daniel Prez Song, Daniel P. Palomar, Jong-Shi Pang |
| 2013 | ICASSP | Robust MIMO cognitive radio systems under temperature interference constraints. | Yang Yang, Peiran Song, Gesualdo Scutari, Daniel P. Palomar |
| 2013 | ICASSP | Robust adaptive beamforming with imprecise steering vector and noise covariance matrix due to finite sample size. | Mengyi Zhang, Francisco Rubio, Daniel P. Palomar, Xavier Mestre |
| 2012 | ICASSP | Lifetime maximization for beamforming applications in wireless sensor networks. | Benjamn Bjar Haro, Santiago Zazo, Daniel P. Palomar |
| 2012 | ICASSP | Lorentz-positive mapswith applications to robust MISO downlink beamforming. | Yongwei Huang, Daniel P. Palomar, Shuzhong Zhang |
| 2012 | ICASSP | Robust maximin MIMO precoding for arbitrary convex uncertainty sets. | Jiaheng Wang, Mats Bengtsson, Bjrn E. Ottersten, Daniel P. Palomar |
| 2012 | ICASSP | Calibration of high-dimensional precision matrices under quadratic loss. | Mengyi Zhang, Francisco Rubio, Daniel P. Palomar |
| 2011 | ICASSP | Maximum likelihood ICA of quaternion Gaussian vectors. | Javier Va, Daniel P. Palomar, Luis Vielva, Ignacio Santamara |
| 2009 | ISIT | On optimal precoding in linear vector Gaussian channels with arbitrary input distribution. | Miquel Payar, Daniel P. Palomar |
| 2008 | ISIT | A multivariate generalization of Costa's entropy power inequality. | Miquel Payar, Daniel P. Palomar |
| 2007 | ICASSP | Unified Theory of Complex-Valued Matrix Differentiation. | Are Hjrungnes, David Gesbert, Daniel P. Palomar |
| 2007 | ICASSP | On Equal Constellation Minimum BER linear MIMO Transceivers. | Luis Garcia Ordez, Daniel P. Palomar, Alba Pags-Zamora, Javier Rodrguez Fonollosa |
| 2007 | ICASSP | Distributed Totally Asynchronous Iterative Waterfilling for Wideband Interference Channel with Time/Frequency Offset. | Gesualdo Scutari, Daniel P. Palomar, Sergio Barbarossa |
| 2007 | ISIT | The Computation of the Capacity Region of the Discrete MAC is a Rank-One Non-Convex Optimization Problem. | Eduard Calvo, Daniel P. Palomar, Javier Rodrguez Fonollosa, Josep Vidal |
| 2006 | ICASSP | Potential Games: A Framework for Vector Power Control Problems With Coupled Constraints. | Gesualdo Scutari, Sergio Barbarossa, Daniel P. Palomar |
| 2006 | ICASSP | Distributed Optimization of Coupled Systems With Applications to Network Utility Maximization. | Chee Wei Tan, Daniel P. Palomar, Mung Chiang |
| 2006 | ICASSP | Robust Design of Linear Mimo Transceivers Under Channel Uncertainty. | Xi Zhang, Daniel P. Palomar, Bjrn E. Ottersten |
| 2006 | ISIT | Simultaneous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels. | Gesualdo Scutari, Daniel P. Palomar, Sergio Barbarossa |
| 2006 | ITW | Lautum Information. | Daniel P. Palomar, Sergio Verd |
| 2005 | GLOBECOM | Alternative decompositions and distributed algorithms for network utility maximization. | Daniel P. Palomar, Mung Chiang |
| 2005 | GLOBECOM | Solving nonconvex power control problems in wireless networks: low SIR regime and distributed algorithms. | Chee Wei Tan, Daniel P. Palomar, Mung Chiang |
| 2005 | ISIT | Gradient of mutual information in linear vector Gaussian channels. | Daniel P. Palomar, Sergio Verd |