Daniel P. Palomar

184 papers A* 9A 1B 10Misc 28Journal 101Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Efficient and Unified Framework for Downlink Linear Precoding with QoS Constraints. IEEE Trans. Signal Process. Ruiding Hou, Jiaheng Wang, Rui Zhou, Daniel P. Palomar, Xiqi Gao, Björn Ottersten
2026	J	`jnl`	Learning False Discovery Rate Control via Model-Based Neural Networks. CoRR Arnau Vilella, Jasin Machkour, Michael Muma, Daniel P. Palomar
2026	J	`jnl`	Robust Filtering and Learning in State-Space Models: Skewness and Heavy Tails Via Asymmetric Laplace Distribution. IEEE Trans. Signal Process. Yifan Yu, Shengjie Xiu, Daniel P. Palomar
2025	—	`conf`	Clustering of Incomplete Data via a Bipartite Graph Structure. EUSIPCO Amirhossein Javaheri, Daniel P. Palomar
2025	J	`jnl`	Clustering of Incomplete Data via a Bipartite Graph Structure. CoRR Amirhossein Javaheri, Daniel P. Palomar
2025	Misc	`conf`	FDR-Controlled Portfolio Optimization for Sparse Financial Index Tracking. ICASSP Jasin Machkour, Daniel P. Palomar, Michael Muma
2025	J	`jnl`	High-dimensional false discovery rate control for dependent variables. Signal Process. Jasin Machkour, Michael Muma, Daniel P. Palomar
2025	J	`jnl`	Maximum Likelihood Estimation of Gaussian and Student's $ t $ GARCH: A Unified Penalty Method. IEEE Trans. Signal Process. Chenyu Gao, Ziping Zhao, Daniel P. Palomar
2025	J	`jnl`	Polynomial Graphical Lasso: Learning Edges From Gaussian Graph-Stationary Signals. IEEE Trans. Signal Process. Andrei Buciulea, Jiaxi Ying, Antonio G. Marques, Daniel P. Palomar
2025	J	`jnl`	Robust Filtering and Learning in State-Space Models: Skewness and Heavy Tails Via Asymmetric Laplace Distribution. CoRR Yifan Yu, Shengjie Xiu, Daniel P. Palomar
2025	J	`jnl`	The terminating-random experiments selector: Fast high-dimensional variable selection with false discovery rate control. Signal Process. Jasin Machkour, Michael Muma, Daniel P. Palomar
2025	J	`jnl`	Time-Varying Graph Learning for Data With Heavy-Tailed Distribution. IEEE Trans. Signal Process. Amirhossein Javaheri, Jiaxi Ying, Daniel P. Palomar, Farokh Marvasti
2025	J	`jnl`	Time-Varying Graph Learning for Data with Heavy-Tailed Distribution. CoRR Amirhossein Javaheri, Jiaxi Ying, Daniel P. Palomar, Farokh Marvasti
2024	A*	`conf`	Adaptive Passive-Aggressive Framework for Online Regression with Side Information. NeurIPS Runhao Shi, Jiaxi Ying, Daniel P. Palomar
2024	J	`jnl`	FDR-Controlled Portfolio Optimization for Sparse Financial Index Tracking. CoRR Jasin Machkour, Daniel P. Palomar, Michael Muma
2024	—	`conf`	FDR-Controlled Sparse Index Tracking with Autoregressive Stock Dependency Models. EUSIPCO Jasin Machkour, Michael Muma, Daniel P. Palomar
2024	Misc	`conf`	Joint Signal Recovery and Graph Learning from Incomplete Time-Series. ICASSP Amirhossein Javaheri, Arash Amini, Farokh Marvasti, Daniel P. Palomar
2024	J	`jnl`	Learning Spatiotemporal Graphical Models From Incomplete Observations. IEEE Trans. Signal Process. Amirhossein Javaheri, Arash Amini, Farokh Marvasti, Daniel P. Palomar
2024	—	`conf`	Learning Time-Varying Graphs for Heavy-Tailed Data Clustering. EUSIPCO Amirhossein Javaheri, Daniel P. Palomar
2024	J	`jnl`	Polynomial Graphical Lasso: Learning Edges from Gaussian Graph-Stationary Signals. CoRR Andrei Buciulea, Jiaxi Ying, Antonio G. Marques, Daniel P. Palomar
2024	—	`conf`	Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach. IEEECONF Yifan Yu, Shengjie Xiu, Daniel P. Palomar
2024	J	`jnl`	SAOFTRL: A Novel Adaptive Algorithmic Framework for Enhancing Online Portfolio Selection. IEEE Trans. Signal Process. Runhao Shi, Daniel P. Palomar
2024	Misc	`conf`	Sparse PCA with False Discovery Rate Controlled Variable Selection. ICASSP Jasin Machkour, Arnaud Breloy, Michael Muma, Daniel P. Palomar, Frédéric Pascal
2024	J	`jnl`	Sparse PCA with False Discovery Rate Controlled Variable Selection. CoRR Jasin Machkour, Arnaud Breloy, Michael Muma, Daniel P. Palomar, Frédéric Pascal
2023	J	`jnl`	A Fast Successive QP Algorithm for General Mean-Variance Portfolio Optimization. IEEE Trans. Signal Process. Shengjie Xiu, Xiwen Wang, Daniel P. Palomar
2023	—	`conf`	A Novel Algorithm for GARCH Model Estimation. SSP Chenyu Gao, Ziping Zhao, Daniel P. Palomar
2023	A*	`conf`	Adaptive Estimation of Graphical Models under Total Positivity. ICML Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2023	J	`jnl`	Affine Equivariant Tyler's M-Estimator Applied to Tail Parameter Learning of Elliptical Distributions. IEEE Signal Process. Lett. Esa Ollila, Daniel P. Palomar, Frédéric Pascal
2023	J	`jnl`	Discerning and Enhancing the Weighted Sum-Rate Maximization Algorithms in Communications. CoRR Zepeng Zhang, Ziping Zhao, Kaiming Shen, Daniel P. Palomar, Wei Yu
2023	J	`jnl`	Efficient and Scalable Parametric High-Order Portfolios Design via the Skew-$t$ Distribution. IEEE Trans. Signal Process. Xiwen Wang, Rui Zhou, Jiaxi Ying, Daniel P. Palomar
2023	Misc	`conf`	Estimating Normalized Graph Laplacians in Financial Markets. ICASSP José Vinícius de Miranda Cardoso, Jiaxi Ying, Sandeep Kumar, Daniel P. Palomar
2023	—	`conf`	False Discovery Rate Control for Fast Screening of Large-Scale Genomics Biobanks. SSP Jasin Machkour, Michael Muma, Daniel P. Palomar
2023	A*	`conf`	Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity. NeurIPS Jianfeng Cai, José Vinícius de Miranda Cardoso, Daniel P. Palomar, Jiaxi Ying
2023	—	`conf`	Graph Learning for Balanced Clustering of Heavy-Tailed Data. CAMSAP Amirhossein Javaheri, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2023	—	`conf`	Intraday Volatility-Volume Joint Modeling and Forecasting: A State-Space Approach. EUSIPCO Shengjie Xiu, Daniel P. Palomar
2023	J	`jnl`	Joint Signal Recovery and Graph Learning from Incomplete Time-Series. CoRR Amirhossein Javaheri, Arash Amini, Farokh Marvasti, Daniel P. Palomar
2023	A*	`conf`	Learning Large-Scale MTP NeurIPS Xiwen Wang, Jiaxi Ying, Daniel P. Palomar
2023	J	`jnl`	Learning Large-Scale MTP CoRR Xiwen Wang, Jiaxi Ying, Daniel P. Palomar
2023	—	`conf`	The Informed Elastic Net for Fast Grouped Variable Selection and FDR Control in Genomics Research. CAMSAP Jasin Machkour, Michael Muma, Daniel P. Palomar
2022	J	`jnl`	Adaptive Estimation of MTP CoRR Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2022	J	`jnl`	Covariance Matrix Estimation Under Low-Rank Factor Model With Nonnegative Correlations. IEEE Trans. Signal Process. Rui Zhou, Jiaxi Ying, Daniel P. Palomar
2022	A*	`conf`	Efficient Algorithms for General Isotone Optimization. AAAI Xiwen Wang, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2022	—	`conf`	False Discovery Rate Control for Grouped Variable Selection in High-Dimensional Linear Models Using the T-Knock Filter. EUSIPCO Jasin Machkour, Michael Muma, Daniel P. Palomar
2022	A*	`conf`	Learning Bipartite Graphs: Heavy Tails and Multiple Components. NeurIPS José Vinícius de Miranda Cardoso, Jiaxi Ying, Daniel P. Palomar
2021	—	`conf`	A Fast Algorithm for Graph Learning under Attractive Gaussian Markov Random Fields. ACSCC Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2021	J	`jnl`	Fast Projected Newton-like Method for Precision Matrix Estimation with Nonnegative Partial Correlations. CoRR Jiaxi Ying, José Vinícius de Miranda Cardoso, Jian-Feng Cai, Daniel P. Palomar
2021	A*	`conf`	Graphical Models in Heavy-Tailed Markets. NeurIPS José Vinícius de Miranda Cardoso, Jiaxi Ying, Daniel P. Palomar
2021	—	`conf`	Improved estimation of the degree of freedom parameter of multivariate $t$-distribution. EUSIPCO Frédéric Pascal, Esa Ollila, Daniel P. Palomar
2021	J	`jnl`	Majorization-Minimization on the Stiefel Manifold With Application to Robust Sparse PCA. IEEE Trans. Signal Process. Arnaud Breloy, Sandeep Kumar, Ying Sun, Daniel P. Palomar
2021	A	`conf`	Minimax Estimation of Laplacian Constrained Precision Matrices. AISTATS Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2021	Misc	`conf`	Parameter Estimation for Student's t VAR Model with Missing Data. ICASSP Rui Zhou, Junyan Liu, Sandeep Kumar, Daniel P. Palomar
2021	J	`jnl`	Shrinking the Eigenvalues of M-Estimators of Covariance Matrix. IEEE Trans. Signal Process. Esa Ollila, Daniel P. Palomar, Frédéric Pascal
2021	J	`jnl`	Solving High-Order Portfolios via Successive Convex Approximation Algorithms. IEEE Trans. Signal Process. Rui Zhou, Daniel P. Palomar
2020	Misc	`conf`	A Theoretical Basis for Practitioners Heuristic 1/N and Long-Only Quintile Portfolio. ICASSP Rui Zhou, Daniel P. Palomar
2020	J	`jnl`	A Unified Framework for Structured Graph Learning via Spectral Constraints. J. Mach. Learn. Res. Sandeep Kumar, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2020	J	`jnl`	Does the 𝓁 CoRR Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2020	J	`jnl`	General sparse risk parity portfolio design via successive convex optimization. Signal Process. Linlong Wu, Yiyong Feng, Daniel P. Palomar
2020	Misc	`conf`	Learning Undirected Graphs in Financial Markets. ACSSC José Vinícius de Miranda Cardoso, Daniel P. Palomar
2020	Misc	`conf`	M-Estimators of Scatter with Eigenvalue Shrinkage. ICASSP Esa Ollila, Daniel P. Palomar, Frédéric Pascal
2020	A*	`conf`	Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model. NeurIPS Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2020	J	`jnl`	Student's $t$ VAR Modeling With Missing Data Via Stochastic EM and Gibbs Sampling. IEEE Trans. Signal Process. Rui Zhou, Junyan Liu, Sandeep Kumar, Daniel P. Palomar
2020	J	`jnl`	Understanding the Quintile Portfolio. IEEE Trans. Signal Process. Rui Zhou, Daniel P. Palomar
2019	J	`jnl`	A Unified Framework for Structured Graph Learning via Spectral Constraints. CoRR Sandeep Kumar, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2019	—	`conf`	Accelerating the Multivariate SKEW T Parameter Estimation. CAMSAP Rui Zhou, Daniel P. Palomar
2019	Misc	`conf`	Bipartite Structured Gaussian Graphical Modeling via Adjacency Spectral Priors. ACSSC Sandeep Kumar, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2019	J	`jnl`	Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I. CoRR Sandeep Kumar, Ketan Rajawat, Daniel P. Palomar
2019	—	`conf`	Large-Scale Regularized Portfolio Selection Via Convex Optimization. GlobalSIP Ziping Zhao, Daniel P. Palomar
2019	J	`jnl`	Optimal Mean-Reverting Portfolio With Leverage Constraint for Statistical Arbitrage in Finance. IEEE Trans. Signal Process. Ziping Zhao, Rui Zhou, Daniel P. Palomar
2019	J	`jnl`	Optimization Algorithms for Graph Laplacian Estimation via ADMM and MM. IEEE Trans. Signal Process. Licheng Zhao, Yiwei Wang, Sandeep Kumar, Daniel P. Palomar
2019	J	`jnl`	Optimization of MIMO Device-to-Device Networks via Matrix Fractional Programming: A Minorization-Maximization Approach. IEEE/ACM Trans. Netw. Kaiming Shen, Wei Yu, Licheng Zhao, Daniel P. Palomar
2019	J	`jnl`	Parameter Estimation of Heavy-Tailed AR Model With Missing Data Via Stochastic EM. IEEE Trans. Signal Process. Junyan Liu, Sandeep Kumar, Daniel P. Palomar
2019	—	`conf`	Parameter Estimation of Heavy-Tailed AR(p) Model from Incomplete Data. EUSIPCO Junyan Liu, Sandeep Kumar, Daniel P. Palomar
2019	J	`jnl`	Regularized robust estimation of mean and covariance matrix for incomplete data. Signal Process. Junyan Liu, Daniel P. Palomar
2019	—	`conf`	Robust Factor Analysis Parameter Estimation. EUROCAST (2) Rui Zhou, Junyan Liu, Sandeep Kumar, Daniel P. Palomar
2019	J	`jnl`	Sequence Design for Spectral Shaping via Minimization of Regularized Spectral Level Ratio. IEEE Trans. Signal Process. Linlong Wu, Daniel P. Palomar
2019	A*	`conf`	Structured Graph Learning Via Laplacian Spectral Constraints. NeurIPS Sandeep Kumar, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2019	J	`jnl`	Structured Graph Learning Via Laplacian Spectral Constraints. CoRR Sandeep Kumar, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar
2019	Misc	`conf`	Unified Framework for Minimax MIMO Transmit Beampattern Matching under Waveform Constraints. ICASSP Rui Zhou, Ziping Zhao, Daniel P. Palomar
2018	J	`jnl`	A Markowitz Portfolio Approach to Options Trading. IEEE Trans. Signal Process. Licheng Zhao, Daniel P. Palomar
2018	J	`jnl`	Coordinated Scheduling and Spectrum Sharing via Matrix Fractional Programming. CoRR Kaiming Shen, Wei Yu, Licheng Zhao, Daniel P. Palomar
2018	Misc	`conf`	Distributed optimization for Generalized Phase Retrieval Over Networks. ACSSC Ziping Zhao, Songtao Lu, Mingyi Hong, Daniel P. Palomar
2018	Misc	`conf`	MIMO Transmit Beampattern Matching Under Waveform Constraints. ICASSP Ziping Zhao, Daniel P. Palomar
2018	J	`jnl`	MIMO Transmit Beampattern Matching Under Waveform Constraints. CoRR Ziping Zhao, Daniel P. Palomar
2018	J	`jnl`	MISO Channel Estimation and Tracking from Received Signal Strength Feedback. IEEE Trans. Signal Process. Tianyu Qiu, Xiao Fu, Nicholas D. Sidiropoulos, Daniel P. Palomar
2018	J	`jnl`	Mean-Reverting Portfolio With Budget Constraint. IEEE Trans. Signal Process. Ziping Zhao, Daniel P. Palomar
2018	—	`conf`	Optimal Portfolio Design for Statistical Arbitrage in Finance. SSP Ziping Zhao, Rui Zhou, Zhongju Wang, Daniel P. Palomar
2018	J	`jnl`	Optimization Methods for Financial Index Tracking: From Theory to Practice. Found. Trends Optim. Konstantinos Benidis, Yiyong Feng, Daniel P. Palomar
2018	Misc	`conf`	Parameter Estimation of Heavy-Tailed Random Walk Model from Incomplete Data. ICASSP Junyan Liu, Sandeep Kumar, Daniel P. Palomar
2018	J	`jnl`	Sparse Portfolios for High-Dimensional Financial Index Tracking. IEEE Trans. Signal Process. Konstantinos Benidis, Yiyong Feng, Daniel P. Palomar
2018	J	`jnl`	Sparse Reduced Rank Regression With Nonconvex Regularization. CoRR Ziping Zhao, Daniel P. Palomar
2018	—	`conf`	Sparse Reduced Rank Regression with Nonconvex Regularization. SSP Ziping Zhao, Daniel P. Palomar
2018	J	`jnl`	Transmit Waveform/Receive Filter Design for MIMO Radar With Multiple Waveform Constraints. IEEE Trans. Signal Process. Linlong Wu, Prabhu Babu, Daniel P. Palomar
2017	J	`jnl`	A Unified Framework for Low Autocorrelation Sequence Design via Majorization-Minimization. IEEE Trans. Signal Process. Licheng Zhao, Junxiao Song, Prabhu Babu, Daniel P. Palomar
2017	—	`conf`	A fast algorithm for joint design of transmit waveforms and receive filters. SPAWC Linlong Wu, Prabhu Babu, Daniel P. Palomar
2017	—	`conf`	A low-complexity algorithm for OFDM phase noise estimation. SPAWC Zhongju Wang, Prabhu Babu, Daniel P. Palomar
2017	J	`jnl`	Cognitive Radar-Based Sequence Design via SINR Maximization. IEEE Trans. Signal Process. Linlong Wu, Prabhu Babu, Daniel P. Palomar
2017	J	`jnl`	Effective Low-Complexity Optimization Methods for Joint Phase Noise and Channel Estimation in OFDM. IEEE Trans. Signal Process. Zhongju Wang, Prabhu Babu, Daniel P. Palomar
2017	J	`jnl`	Joint Optimization of Power and Data Transfer in Multiuser MIMO Systems. IEEE Trans. Signal Process. Javier Rubio, Antonio Pascual-Iserte, Daniel P. Palomar, Andrea Goldsmith
2017	J	`jnl`	Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning. IEEE Trans. Signal Process. Ying Sun, Prabhu Babu, Daniel P. Palomar
2017	J	`jnl`	Maximin Joint Optimization of Transmitting Code and Receiving Filter in Radar and Communications. IEEE Trans. Signal Process. Licheng Zhao, Daniel P. Palomar
2017	J	`jnl`	Robust Maximum Likelihood Estimation of Sparse Vector Error Correction Model. CoRR Ziping Zhao, Daniel P. Palomar
2017	—	`conf`	Robust estimation of mean and covariance matrix for incomplete data in financial applications. GlobalSIP Junyan Liu, Daniel P. Palomar
2017	—	`conf`	Robust maximum likelihood estimation of sparse vector error correction model. GlobalSIP Ziping Zhao, Daniel P. Palomar
2016	J	`jnl`	A Parallel Decomposition Method for Nonconvex Stochastic Multi-Agent Optimization Problems. IEEE Trans. Signal Process. Yang Yang, Gesualdo Scutari, Daniel P. Palomar, Marius Pesavento
2016	J	`jnl`	A Signal Processing Perspective of Financial Engineering. Found. Trends Signal Process. Yiyong Feng, Daniel P. Palomar
2016	J	`jnl`	An Online Parallel Algorithm for Recursive Estimation of Sparse Signals. IEEE Trans. Signal Inf. Process. over Networks Yang Yang, Marius Pesavento, Mengyi Zhang, Daniel P. Palomar
2016	J	`jnl`	Design of PAR-Constrained Sequences for MIMO Channel Estimation via Majorization-Minimization. CoRR Zhongju Wang, Prabhu Babu, Daniel P. Palomar
2016	J	`jnl`	Design of PAR-Constrained Sequences for MIMO Channel Estimation via Majorization-Minimization. IEEE Trans. Signal Process. Zhongju Wang, Prabhu Babu, Daniel P. Palomar
2016	J	`jnl`	Distributed Nonconvex Multiagent Optimization Over Time-Varying Networks. CoRR Ying Sun, Gesualdo Scutari, Daniel P. Palomar
2016	J	`jnl`	Effective Low-Complexity Optimization Methods for Joint Phase Noise and Channel Estimation in OFDM. CoRR Zhongju Wang, Prabhu Babu, Daniel P. Palomar
2016	J	`jnl`	Efficient Algorithms on Robust Low-Rank Matrix Completion Against Outliers. IEEE Trans. Signal Process. Licheng Zhao, Prabhu Babu, Daniel P. Palomar
2016	J	`jnl`	Introduction to the Issue on Financial Signal Processing and Machine Learning for Electronic Trading. IEEE J. Sel. Top. Signal Process. Ali N. Akansu, Dmitry Malioutov, Daniel P. Palomar, Emmanuelle Jay, Danilo P. Mandic
2016	J	`jnl`	Low-Complexity Algorithms for Low Rank Clutter Parameters Estimation in Radar Systems. IEEE Trans. Signal Process. Ying Sun, Arnaud Breloy, Prabhu Babu, Daniel P. Palomar, Frédéric Pascal, Guillaume Ginolhac
2016	Misc	`conf`	Mean-reverting portfolio design via majorization-minimization method. ACSSC Ziping Zhao, Daniel P. Palomar
2016	Misc	`conf`	Optimal design of constant-modulus channel training sequences. ICASSP Zhongju Wang, Prabhu Babu, Daniel P. Palomar
2016	J	`jnl`	Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation. IEEE Trans. Signal Process. Konstantinos Benidis, Ying Sun, Prabhu Babu, Daniel P. Palomar
2016	B	`conf`	SWIPT techniques for multiuser MIMO broadcast systems. PIMRC Javier Rubio, Antonio Pascual-Iserte, Daniel P. Palomar, Andrea Goldsmith
2016	J	`jnl`	Sequence Design to Minimize the Weighted Integrated and Peak Sidelobe Levels. IEEE Trans. Signal Process. Junxiao Song, Prabhu Babu, Daniel P. Palomar
2016	J	`jnl`	Sequence Set Design With Good Correlation Properties Via Majorization-Minimization. IEEE Trans. Signal Process. Junxiao Song, Prabhu Babu, Daniel P. Palomar
2016	J	`jnl`	Undersampled Phase Retrieval via Majorization-Minimization. CoRR Tianyu Qiu, Daniel P. Palomar
2015	J	`jnl`	Normalization of Linear Support Vector Machines. IEEE Trans. Signal Process. Yiyong Feng, Daniel P. Palomar
2015	Misc	`conf`	Optimization methods for sequence design with low autocorrelation sidelobes. ICASSP Junxiao Song, Prabhu Babu, Daniel P. Palomar
2014	Misc	`conf`	A fast algorithm for sparse generalized eigenvalue problem. ACSSC Junxiao Song, Prabhu Babu, Daniel P. Palomar
2014	Misc	`conf`	An online parallel algorithm for spectrum sensing in cognitive radio networks. ACSSC Yang Yang, Mengyi Zhang, Marius Pesavento, Daniel P. Palomar
2014	J	`jnl`	Convex separable problems with linear and box constraints in signal processing and communications. CoRR Antonio A. D'Amico, Luca Sanguinetti, Daniel P. Palomar
2014	Misc	`conf`	Convex separable problems with linear and box constraints. ICASSP Antonio Alberto D'Amico, Luca Sanguinetti, Daniel P. Palomar
2014	J	`jnl`	Convex separable problems with linear and box constraints. CoRR Antonio A. D'Amico, Luca Sanguinetti, Daniel P. Palomar
2014	J	`jnl`	Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems. IEEE Trans. Signal Process. Gesualdo Scutari, Francisco Facchinei, Peiran Song, Daniel P. Palomar, Jong-Shi Pang
2014	J	`jnl`	Energy Efficient Collaborative Beamforming in Wireless Sensor Networks. IEEE Trans. Signal Process. Benjamín Béjar Haro, Santiago Zazo, Daniel P. Palomar
2014	J	`jnl`	Noncooperative Day-Ahead Bidding Strategies for Demand-Side Expected Cost Minimization With Real-Time Adjustments: A GNEP Approach. IEEE Trans. Signal Process. Italo Atzeni, Luis Garcia Ordóñez, Gesualdo Scutari, Daniel P. Palomar, Javier Rodríguez Fonollosa
2014	J	`jnl`	Randomized Algorithms for Optimal Solutions of Double-Sided QCQP With Applications in Signal Processing. IEEE Trans. Signal Process. Yongwei Huang, Daniel P. Palomar
2014	J	`jnl`	Real and Complex Monotone Communication Games. IEEE Trans. Inf. Theory Gesualdo Scutari, Francisco Facchinei, Jong-Shi Pang, Daniel P. Palomar
2014	J	`jnl`	Regularized Tyler's Scatter Estimator: Existence, Uniqueness, and Algorithms. IEEE Trans. Signal Process. Ying Sun, Prabhu Babu, Daniel P. Palomar
2013	J	`jnl`	Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems CoRR Gesualdo Scutari, Francisco Facchinei, Peiran Song, Daniel P. Palomar, Jong-Shi Pang
2013	Misc	`conf`	Decomposition by partial linearization in multiuser systems. ICASSP Gesualdo Scutari, Francisco Facchinei, Daniel Pérez Song, Daniel P. Palomar, Jong-Shi Pang
2013	J	`jnl`	Demand-Side Management via Distributed Energy Generation and Storage Optimization. IEEE Trans. Smart Grid Italo Atzeni, Luis Garcia Ordóñez, Gesualdo Scutari, Daniel P. Palomar, Javier Rodríguez Fonollosa
2013	J	`jnl`	Finite-Sample Linear Filter Optimization in Wireless Communications and Financial Systems. IEEE Trans. Signal Process. Mengyi Zhang, Francisco Rubio, Daniel P. Palomar, Xavier Mestre
2013	J	`jnl`	Improved Calibration of High-Dimensional Precision Matrices. IEEE Trans. Signal Process. Mengyi Zhang, Francisco Rubio, Daniel P. Palomar
2013	J	`jnl`	Lorentz-Positive Maps and Quadratic Matrix Inequalities With Applications to Robust MISO Transmit Beamforming. IEEE Trans. Signal Process. Yongwei Huang, Daniel P. Palomar, Shuzhong Zhang
2013	J	`jnl`	Multi-Portfolio Optimization: A Potential Game Approach. IEEE Trans. Signal Process. Yang Yang, Francisco Rubio, Gesualdo Scutari, Daniel P. Palomar
2013	J	`jnl`	Noncooperative and Cooperative Optimization of Distributed Energy Generation and Storage in the Demand-Side of the Smart Grid. IEEE Trans. Signal Process. Italo Atzeni, Luis Garcia Ordóñez, Gesualdo Scutari, Daniel P. Palomar, Javier Rodríguez Fonollosa
2013	J	`jnl`	On MMSE Crossing Properties and Implications in Parallel Vector Gaussian Channels. IEEE Trans. Inf. Theory Ronit Bustin, Miquel Payaró, Daniel P. Palomar, Shlomo Shamai (Shitz)
2013	J	`jnl`	Robust MIMO Cognitive Radio Systems Under Interference Temperature Constraints. IEEE J. Sel. Areas Commun. Yang Yang, Gesualdo Scutari, Peiran Song, Daniel P. Palomar
2013	J	`jnl`	Robust MIMO Precoding for Several Classes of Channel Uncertainty. IEEE Trans. Signal Process. Jiaheng Wang, Mats Bengtsson, Björn E. Ottersten, Daniel P. Palomar
2013	Misc	`conf`	Robust MIMO cognitive radio systems under temperature interference constraints. ICASSP Yang Yang, Peiran Song, Gesualdo Scutari, Daniel P. Palomar
2013	B	`conf`	Robust MIMO precoding for the schatten norm based channel uncertainty sets. GLOBECOM Jiaheng Wang, Mats Bengtsson, Björn E. Ottersten, Daniel P. Palomar
2013	Misc	`conf`	Robust adaptive beamforming with imprecise steering vector and noise covariance matrix due to finite sample size. ICASSP Mengyi Zhang, Francisco Rubio, Daniel P. Palomar, Xavier Mestre
2013	Misc	`conf`	Robust order execution under box uncertainty sets. ACSSC Yiyong Feng, Daniel P. Palomar
2013	J	`jnl`	Universal Binary Semidefinite Relaxation for ML Signal Detection. IEEE Trans. Commun. Xiaopeng Fan, Junxiao Song, Daniel P. Palomar, Oscar C. Au
2012	J	`jnl`	Array Gain in the DMT Framework for MIMO Channels. IEEE Trans. Inf. Theory Luis Garcia Ordóñez, Daniel P. Palomar, Javier Rodríguez Fonollosa
2012	Misc	`conf`	Calibration of high-dimensional precision matrices under quadratic loss. ICASSP Mengyi Zhang, Francisco Rubio, Daniel P. Palomar
2012	—	`conf`	Day-ahead bidding strategies for demand-side expected cost minimization. SmartGridComm Italo Atzeni, Luis Garcia Ordóñez, Gesualdo Scutari, Daniel P. Palomar, Javier Rodríguez Fonollosa
2012	Misc	`conf`	Lifetime maximization for beamforming applications in wireless sensor networks. ICASSP Benjamín Béjar Haro, Santiago Zazo, Daniel P. Palomar
2012	Misc	`conf`	Lorentz-positive mapswith applications to robust MISO downlink beamforming. ICASSP Yongwei Huang, Daniel P. Palomar, Shuzhong Zhang
2012	—	`ed.`	Mobile Lightweight Wireless Systems - Third International ICST Conference, MOBILIGHT 2011, Bilbao, Spain, May 9-10, 2011, Revised Selected Papers MOBILIGHT Javier Del Ser, Eduard A. Jorswieck, Joaquín Míguez, Marja Matinmikko, Daniel P. Palomar, Sancho Salcedo-Sanz, Sergio Gil-Lopez
2012	J	`jnl`	Performance Analysis and Optimal Selection of Large Minimum Variance Portfolios Under Estimation Risk. IEEE J. Sel. Top. Signal Process. Francisco Rubio, Xavier Mestre, Daniel P. Palomar
2012	J	`jnl`	Real and Complex Monotone Communication Games CoRR Gesualdo Scutari, Francisco Facchinei, Jong-Shi Pang, Daniel P. Palomar
2012	Misc	`conf`	Robust maximin MIMO precoding for arbitrary convex uncertainty sets. ICASSP Jiaheng Wang, Mats Bengtsson, Björn E. Ottersten, Daniel P. Palomar
2011	—	`conf`	Distributed dynamic pricing for MIMO interfering multiuser systems: A unified approach. NetGCoop Gesualdo Scutari, Daniel P. Palomar, Francisco Facchinei, Jong-Shi Pang
2011	J	`jnl`	Generalized Likelihood Ratios for Testing the Properness of Quaternion Gaussian Vectors. IEEE Trans. Signal Process. Javier Vía, Daniel P. Palomar, Luis Vielva
2011	Misc	`conf`	Maximum likelihood ICA of quaternion Gaussian vectors. ICASSP Javier Vía, Daniel P. Palomar, Luis Vielva, Ignacio Santamaría
2011	J	`jnl`	Performance analysis and optimal selection of large mean-variance portfolios under estimation risk CoRR Francisco Rubio, Xavier Mestre, Daniel P. Palomar
2011	J	`jnl`	Quaternion ICA From Second-Order Statistics. IEEE Trans. Signal Process. Javier Vía, Daniel P. Palomar, Luis Vielva, Ignacio Santamaría
2010	—	`ch.`	Competitive optimization of cognitive radio MIMO systems via game theory. Convex Optimization in Signal Processing and Communications Gesualdo Scutari, Daniel P. Palomar, Sergio Barbarossa
2010	—	`book`	Convex Optimization in Signal Processing and Communications. Daniel P. Palomar, Yonina C. Eldar
2009	—	`conf`	Competitive optimization of cognitive radio MIMO systems via game theory. GAMENETS Gesualdo Scutari, Daniel P. Palomar, Sergio Barbarossa
2009	J	`jnl`	Flexible design of cognitive radio wireless systems. IEEE Signal Process. Mag. Gesualdo Scutari, Daniel P. Palomar, Jong-Shi Pang, Francisco Facchinei
2009	B	`conf`	On optimal precoding in linear vector Gaussian channels with arbitrary input distribution. ISIT Miquel Payaró, Daniel P. Palomar
2008	B	`conf`	A multivariate generalization of Costa's entropy power inequality. ISIT Miquel Payaró, Daniel P. Palomar
2008	J	`jnl`	Cognitive MIMO radio. IEEE Signal Process. Mag. Gesualdo Scutari, Daniel P. Palomar, Sergio Barbarossa
2007	J	`jnl`	Alternative Distributed Algorithms for Network Utility Maximization: Framework and Applications. IEEE Trans. Autom. Control. Daniel P. Palomar, Mung Chiang
2007	—	`conf`	Distributed Totally Asynchronous Iterative Waterfilling for Wideband Interference Channel with Time/Frequency Offset. ICASSP (4) Gesualdo Scutari, Daniel P. Palomar, Sergio Barbarossa
2007	—	`conf`	On Equal Constellation Minimum BER linear MIMO Transceivers. ICASSP (3) Luis Garcia Ordóñez, Daniel P. Palomar, Alba Pagès-Zamora, Javier Rodríguez Fonollosa
2007	B	`conf`	The Computation of the Capacity Region of the Discrete MAC is a Rank-One Non-Convex Optimization Problem. ISIT Eduard Calvo, Daniel P. Palomar, Javier Rodríguez Fonollosa, Josep Vidal
2007	—	`conf`	Unified Theory of Complex-Valued Matrix Differentiation. ICASSP (3) Are Hjørungnes, David Gesbert, Daniel P. Palomar
2006	—	`conf`	Distributed Optimization of Coupled Systems With Applications to Network Utility Maximization. ICASSP (5) Chee Wei Tan, Daniel P. Palomar, Mung Chiang
2006	B	`conf`	Lautum Information. ITW Daniel P. Palomar, Sergio Verdú
2006	—	`conf`	Potential Games: A Framework for Vector Power Control Problems With Coupled Constraints. ICASSP (4) Gesualdo Scutari, Sergio Barbarossa, Daniel P. Palomar
2006	—	`conf`	Robust Design of Linear Mimo Transceivers Under Channel Uncertainty. ICASSP (4) Xi Zhang, Daniel P. Palomar, Björn E. Ottersten
2006	B	`conf`	Simultaneous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels. ISIT Gesualdo Scutari, Daniel P. Palomar, Sergio Barbarossa
2005	B	`conf`	Alternative decompositions and distributed algorithms for network utility maximization. GLOBECOM Daniel P. Palomar, Mung Chiang
2005	B	`conf`	Gradient of mutual information in linear vector Gaussian channels. ISIT Daniel P. Palomar, Sergio Verdú
2005	B	`conf`	Solving nonconvex power control problems in wireless networks: low SIR regime and distributed algorithms. GLOBECOM Chee Wei Tan, Daniel P. Palomar, Mung Chiang
2003	—	`conf`	Real-time scheduling for wireless multiuser MISO systems under different fairness criteria. ISSPA (1) Diego Bartolomé, Daniel P. Palomar, Ana I. Pérez-Neira