Michael P. Friedlander

72 papers A* 5A 3Misc 2Journal 59Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Convergence Rate of the Last Iterate of Stochastic Proximal Algorithms. CoRR Kevin Kurian Thomas Vaidyan, Michael P. Friedlander, Ahmet Alacaoglu
2025	J	`jnl`	Average-case thresholds for exact regularization of linear programs. CoRR Michael P. Friedlander, Sharvaj Kubal, Yaniv Plan, Matthew Scott
2025	J	`jnl`	Decentralized Optimization with Topology-Independent Communication. CoRR Ying Lin, Yao Kuang, Ahmet Alacaoglu, Michael P. Friedlander
2025	J	`jnl`	Multiple Scale Methods For Optimization Of Discretized Continuous Functions. CoRR Nicholas J. E. Richardson, Noah Marusenko, Michael P. Friedlander
2025	J	`jnl`	STARK denoises spatial transcriptomics images via adaptive regularization. CoRR Sharvaj Kubal, Naomi Graham, Matthieu Heitz, Andrew Warren, Michael P. Friedlander, Yaniv Plan, Geoffrey Schiebinger
2024	J	`jnl`	Cardinality-constrained structured data-fitting problems. Open J. Math. Optim. Zhenan Fan, Huang Fang, Michael P. Friedlander
2024	A*	`conf`	Fair and Efficient Contribution Valuation for Vertical Federated Learning. ICLR Zhenan Fan, Huang Fang, Xinglu Wang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang
2023	J	`jnl`	From Perspective Maps to Epigraphical Projections. Math. Oper. Res. Michael P. Friedlander, Ariel Goodwin, Tim Hoheisel
2022	J	`jnl`	A dual approach for federated learning. CoRR Zhenan Fan, Huang Fang, Michael P. Friedlander
2022	J	`jnl`	Fair and efficient contribution valuation for vertical federated learning. CoRR Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang
2022	A*	`conf`	Improving Fairness for Data Valuation in Horizontal Federated Learning. ICDE Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang
2022	J	`jnl`	Knowledge-Injected Federated Learning. CoRR Zhenan Fan, Zirui Zhou, Jian Pei, Michael P. Friedlander, Jiajie Hu, Chengliang Li, Yong Zhang
2022	J	`jnl`	NBIHT: An Efficient Algorithm for 1-Bit Compressed Sensing With Optimal Error Decay Rate. IEEE Trans. Inf. Theory Michael P. Friedlander, Halyun Jeong, Yaniv Plan, Özgür Yilmaz
2022	J	`jnl`	Online Mirror Descent and Dual Averaging: Keeping Pace in the Dynamic Case. J. Mach. Learn. Res. Huang Fang, Nicholas J. A. Harvey, Victor S. Portella, Michael P. Friedlander
2022	J	`jnl`	Polar Deconvolution of Mixed Signals. IEEE Trans. Signal Process. Zhenan Fan, Halyun Jeong, Babhru Joshi, Michael P. Friedlander
2022	J	`jnl`	Quantum algorithms for structured prediction. Quantum Mach. Intell. Behrooz Sepehry, Ehsan Iranmanesh, Michael P. Friedlander, Pooya Ronagh
2021	A*	`conf`	Fast convergence of stochastic subgradient method under interpolation. ICLR Huang Fang, Zhenan Fan, Michael P. Friedlander
2021	J	`jnl`	From perspective maps to epigraphical projections. CoRR Michael P. Friedlander, Ariel Goodwin, Tim Hoheisel
2021	J	`jnl`	Improving Fairness for Data Valuation in Federated Learning. CoRR Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang
2020	J	`jnl`	A perturbation view of level-set methods for convex optimization. Optim. Lett. Ron Estrin, Michael P. Friedlander
2020	J	`jnl`	Atomic Decomposition via Polar Alignment: The Geometry of Structured Optimization. Found. Trends Optim. Zhenan Fan, Halyun Jeong, Yifan Sun, Michael P. Friedlander
2020	A	`conf`	Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization. AISTATS Huang Fang, Zhenan Fan, Yifan Sun, Michael P. Friedlander
2020	J	`jnl`	Implementing a Smooth Exact Penalty Function for Equality-Constrained Nonlinear Optimization. SIAM J. Sci. Comput. Ron Estrin, Michael P. Friedlander, Dominique Orban, Michael A. Saunders
2020	J	`jnl`	Implementing a Smooth Exact Penalty Function for General Constrained Nonlinear Optimization. SIAM J. Sci. Comput. Ron Estrin, Michael P. Friedlander, Dominique Orban, Michael A. Saunders
2020	J	`jnl`	NBIHT: An Efficient Algorithm for 1-bit Compressed Sensing with Optimal Error Decay Rate. CoRR Michael P. Friedlander, Halyun Jeong, Yaniv Plan, Özgür Yilmaz
2020	A*	`conf`	Online mirror descent and dual averaging: keeping pace in the dynamic case. ICML Huang Fang, Nick Harvey, Victor S. Portella, Michael P. Friedlander
2020	J	`jnl`	Online mirror descent and dual averaging: keeping pace in the dynamic case. CoRR Huang Fang, Nicholas J. A. Harvey, Victor S. Portella, Michael P. Friedlander
2020	J	`jnl`	Polar Deconvolution of Mixed Signals. CoRR Zhenan Fan, Halyun Jeong, Babhru Joshi, Michael P. Friedlander
2019	Misc	`conf`	Bundle methods for dual atomic pursuit. ACSSC Zhenan Fan, Yifan Sun, Michael P. Friedlander
2019	A	`conf`	Fast Training for Large-Scale One-versus-All Linear Classifiers using Tree-Structured Initialization. SDM Huang Fang, Minhao Cheng, Cho-Jui Hsieh, Michael P. Friedlander
2019	J	`jnl`	Implementing a smooth exact penalty function for equality-constrained nonlinear optimization. CoRR Ron Estrin, Michael P. Friedlander, Dominique Orban, Michael A. Saunders
2019	J	`jnl`	Implementing a smooth exact penalty function for general constrained nonlinear optimization. CoRR Ron Estrin, Michael P. Friedlander, Dominique Orban, Michael A. Saunders
2019	J	`jnl`	Level-set methods for convex optimization. Math. Program. Aleksandr Y. Aravkin, James V. Burke, Dmitriy Drusvyatskiy, Michael P. Friedlander, Scott Roy
2019	—	`conf`	One-shot atomic detection. CAMSAP Yifan Sun, Michael P. Friedlander
2019	J	`jnl`	Polar Alignment and Atomic Decomposition. CoRR Zhenan Fan, Halyun Jeong, Yifan Sun, Michael P. Friedlander
2019	J	`jnl`	Polar Convolution. SIAM J. Optim. Michael P. Friedlander, Ives Macêdo, Ting Kei Pong
2018	J	`jnl`	Foundations of Gauge and Perspective Duality. SIAM J. Optim. Aleksandr Y. Aravkin, James V. Burke, Dmitriy Drusvyatskiy, Michael P. Friedlander, Kellie J. MacPhee
2018	J	`jnl`	Smooth Structured Prediction Using Quantum and Classical Gibbs Samplers. CoRR Behrooz Sepehry, Ehsan Iranmanesh, Michael P. Friedlander, Pooya Ronagh
2016	J	`jnl`	Efficient evaluation of scaled proximal operators. CoRR Michael P. Friedlander, Gabriel Goh
2016	J	`jnl`	Level-set methods for convex optimization. CoRR Aleksandr Y. Aravkin, James V. Burke, Dmitriy Drusvyatskiy, Michael P. Friedlander, Scott Roy
2016	J	`jnl`	Low-Rank Spectral Optimization via Gauge Duality. SIAM J. Sci. Comput. Michael P. Friedlander, Ives Macêdo
2016	—	`conf`	Satisfying Real-world Goals with Dataset Constraints. NIPS Gabriel Goh, Andrew Cotter, Maya R. Gupta, Michael P. Friedlander
2016	J	`jnl`	Satisfying Real-world Goals with Dataset Constraints. CoRR Andrew Cotter, Michael P. Friedlander, Gabriel Goh, Maya R. Gupta
2016	J	`jnl`	Social Resistance. Comput. Sci. Eng. Michael P. Friedlander, Nathan Krislock, Ting Kei Pong
2015	A*	`conf`	Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection. ICML Julie Nutini, Mark Schmidt, Issam H. Laradji, Michael P. Friedlander, Hoyt A. Koepke
2015	J	`jnl`	Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection. CoRR Julie Nutini, Mark Schmidt, Issam H. Laradji, Michael P. Friedlander, Hoyt A. Koepke
2015	J	`jnl`	Low-rank spectral optimization. CoRR Michael P. Friedlander, Ives Macêdo
2014	J	`jnl`	Gauge Optimization and Duality. SIAM J. Optim. Michael P. Friedlander, Ives Macêdo, Ting Kei Pong
2013	J	`jnl`	Erratum: Hybrid Deterministic-Stochastic Methods for Data Fitting. SIAM J. Sci. Comput. Michael P. Friedlander, Mark Schmidt
2013	—	`conf`	Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models. ICML (3) Mohammad Emtiyaz Khan, Aleksandr Y. Aravkin, Michael P. Friedlander, Matthias W. Seeger
2013	J	`jnl`	Variational Properties of Value Functions. SIAM J. Optim. Aleksandr Y. Aravkin, James V. Burke, Michael P. Friedlander
2012	J	`jnl`	A primal-dual regularized interior-point method for convex quadratic programs. Math. Program. Comput. Michael P. Friedlander, Dominique Orban
2012	J	`jnl`	Fighting the Curse of Dimensionality: Compressive Sensing in Exploration Seismology. IEEE Signal Process. Mag. Felix J. Herrmann, Michael P. Friedlander, Özgür Yilmaz
2012	J	`jnl`	Hybrid Deterministic-Stochastic Methods for Data Fitting. SIAM J. Sci. Comput. Michael P. Friedlander, Mark Schmidt
2012	J	`jnl`	Recovering Compressively Sampled Signals Using Partial Support Information. IEEE Trans. Inf. Theory Michael P. Friedlander, Hassan Mansour, Rayan Saab, Özgür Yilmaz
2012	Misc	`conf`	Robust inversion via semistochastic dimensionality reduction. ICASSP Aleksandr Y. Aravkin, Michael P. Friedlander, Tristan van Leeuwen
2012	J	`jnl`	Robust inversion, dimensionality reduction, and randomized sampling. Math. Program. Aleksandr Y. Aravkin, Michael P. Friedlander, Felix J. Herrmann, Tristan van Leeuwen
2011	J	`jnl`	Hybrid Deterministic-Stochastic Methods for Data Fitting CoRR Michael P. Friedlander, Mark Schmidt
2011	J	`jnl`	Robust inversion via semistochastic dimensionality reduction CoRR Aleksandr Y. Aravkin, Michael P. Friedlander, Tristan van Leeuwen
2011	J	`jnl`	Sparse Optimization with Least-Squares Constraints. SIAM J. Optim. Ewout van den Berg, Michael P. Friedlander
2010	J	`jnl`	Recovering Compressively Sampled Signals Using Partial Support Information CoRR Michael P. Friedlander, Hassan Mansour, Rayan Saab, Özgür Yilmaz
2010	J	`jnl`	Theoretical and empirical results for recovery from multiple measurements. IEEE Trans. Inf. Theory Ewout van den Berg, Michael P. Friedlander
2009	J	`jnl`	Algorithm 890: Sparco: A Testing Framework for Sparse Reconstruction. ACM Trans. Math. Softw. Ewout van den Berg, Michael P. Friedlander, Gilles Hennenfent, Felix J. Herrmann, Rayan Saab, Özgür Yilmaz
2009	J	`jnl`	Joint-sparse recovery from multiple measurements CoRR Ewout van den Berg, Michael P. Friedlander
2009	A	`conf`	Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm. AISTATS Mark Schmidt, Ewout van den Berg, Michael P. Friedlander, Kevin P. Murphy
2008	J	`jnl`	Computing non-negative tensor factorizations. Optim. Methods Softw. Michael P. Friedlander, Kathrin Hatz
2008	J	`jnl`	Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs. SIAM J. Sci. Comput. Michael P. Friedlander, Sven Leyffer
2008	J	`jnl`	Probing the Pareto Frontier for Basis Pursuit Solutions. SIAM J. Sci. Comput. Ewout van den Berg, Michael P. Friedlander
2007	J	`jnl`	Exact Regularization of Convex Programs. SIAM J. Optim. Michael P. Friedlander, Paul Tseng
2006	J	`jnl`	On minimizing distortion and relative entropy. IEEE Trans. Inf. Theory Michael P. Friedlander, M. R. Gupta
2005	J	`jnl`	A Globally Convergent Linearly Constrained Lagrangian Method for Nonlinear Optimization. SIAM J. Optim. Michael P. Friedlander, Michael A. Saunders
2005	J	`jnl`	A two-sided relaxation scheme for Mathematical Programs with Equilibrium Constraints. SIAM J. Optim. Victor DeMiguel, Michael P. Friedlander, Francisco J. Nogales, Stefan Scholtes