Daniel P. Robinson

University of Iowa — United States

Engineering · Physical Sciences

25h-index2.5kcitations223works0.72yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Sparse and Compressive Sensing Techniques(65), Advanced Optimization Algorithms Research(65), Stochastic Gradient Optimization Techniques(35), Optimization and Variational Analysis(20), Face and Expression Recognition(14)

Publications223 total

A Proximal-Gradient Method for Solving Regularized Optimization Problems with General Constraints
arXiv (Cornell University)·2025Open Access
A Proximal-Gradient Method for Solving Regularized Optimization Problems with General Constraints
ArXiv.org·2025Open Access
A Proximal-Gradient Method for Equality Constrained Optimization
SIAM Journal on Optimization·2025
Progressively Sampled Equality-Constrained Optimization
arXiv (Cornell University)·2025Open Access
Practical Nonconvex Nonsmooth Optimization
Society for Industrial and Applied Mathematics eBooks·2025
Active-Set Identification in Noisy and Stochastic Optimization
arXiv (Cornell University)·2025Open Access
Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression
2025· 2 cited
Fair Supervised Learning Through Constraints on Smooth Nonconvex Unfairness-Measure Surrogates
arXiv (Cornell University)·2025Open Access
A Stochastic-Gradient-Based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems
SIAM Journal on Optimization·2025· 3 cited
Mitfa-Independent Melanocyte Progenitors are Highly Susceptible to GNAQ-induced Uveal Melanoma in Adult Zebrafish
2025Open Access
Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression
arXiv (Cornell University)·2025Open Access
Sequential Quadratic Optimization for Stochastic Optimization with Deterministic Nonlinear Inequality and Equality Constraints
SIAM Journal on Optimization·2024· 4 cited
Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning
arXiv (Cornell University)·2024Open Access
MapTune: Advancing ASIC Technology Mapping via Reinforcement Learning Guided Library Tuning
arXiv (Cornell University)·2024Open Access
A proximal-gradient method for problems with overlapping group-sparse regularization: support identification complexity
Optimization methods & software·2024
A Stochastic Inexact Sequential Quadratic Optimization Algorithm for Nonlinear Equality-Constrained Optimization
INFORMS Journal on Optimization·2024· 4 citedOpen Access
A Proximal-Gradient Method for Constrained Optimization
arXiv (Cornell University)·2024Open Access
Geometric Analysis of Nonlinear Manifold Clustering
2024
Using AlphaFold and Experimental Structures for the Prediction of the Structure and Binding Affinities of GPCR Complexes via Induced Fit Docking and Free Energy Perturbation
Journal of Chemical Theory and Computation·2023· 27 cited
A Stochastic Sequential Quadratic Optimization Algorithm for Nonlinear-Equality-Constrained Optimization with Rank-Deficient Jacobians
Mathematics of Operations Research·2023· 12 cited
page 1 of 12Next →

Frequent Co-authors

Renè Vidal(18), Frank E. Curtis(13), Chong You(10), Nicholas I. M. Gould(7), Philip E. Gill(5), Zhihui Zhu(4), Manolis C. Tsakiris(4), Chun-Guang Li(3), Vyacheslav Kungurtsev(3), Guilherme França(3), Mohammadreza Samadi(2), Chi Li(2), Hao Jiang(2), Albert S. Berahas(2), Yueling Loh(2), Michael O’Neill(2), Tianjiao Ding(2), Yun-Chen Yang(2), Tianyu Ding(2), David Bebbington(1)