TA8a.9

Streaming Block Kaczmarz for Structured Linear Systems

Sophia Palomares, Deanna Needell, University of California, Los Angeles, United States
Session:
TA8a: Optimization, Sparsity, and High-Dimensional Learning Poster
Track:
Adaptive Systems, Machine Learning, and Data Analytics
Location:
Merrill Hall
Presentation Time:
Tue, 27 Oct, 08:15 - 09:55 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session TA8a
TA8a.1: Adaptive Beamforming using One-Bit Data Samples for Covariance Estimation
Aaron Kogan, Swaroop Appadwedula, Massachusetts Institute of Technology (MIT) Lincoln Laboratory, United States
TA8a.2: Breaking the Asymmetry Barrier in Analog In-Memory Training: A Signal Processing Solution
Quan Xiao, Jindan Li, Zhaoxian Wu, Cornell University, United States; Tayfun Gokmen, IBM Research, United States; Tianyi Chen, Cornell University, United States
TA8a.3: Adaptive Conflict-Avoidant Stochastic MGDA by Exploiting the Update Direction Continuity
Chentong Huang, Lisha Chen, University of Rochester, United States
TA8a.4: Robust Discriminative-Generative Latent Dynamical Filtering for Time-Series State Decoding
Shahabedin Tavasoli, Pedram Rajaei, Amer Ziouziou, Ali Yousefi, University of Houston, United States
TA8a.5: Adaptive Ensemble Learning in the Signed Cumulative Distribution Transform Domain for Robust Hyperspectral Anomaly Detection
Abu Hasnat Mohammad Rubaiyat, Amentum, United States; Jordan Vincent, Tekla Research, United States; Colin Olson, U.S. Naval Research Laboratory, United States
TA8a.6: Sparse Recovery Above the Phase Transition: A Learned Operator-Aware Approach
Di An, Dylan Poppert, Taewoon Choi, Trac Tran, Johns Hopkins University, United States
TA8a.7: Geometry-Aware Randomized Kaczmarz: Fairer Solutions on Non-Uniform Geometries
Alejandra Castillo, Pomona College, United States; Jamie Haddock, Harvey Mudd College, United States; Iryna Hartsock, H. Lee Moffitt Cancer Center & Research Institute, United States; Lara Kassab, California State University, Fullerton, United States; Deanna Needell, University of California, Los Angeles, United States
TA8a.8: Complex Logistic Regression
Pavel Filippov, Majdoddin Esfandiari, Esa Ollila, Aalto University, Finland; Elias Raninen, Nokia Bell Labs, Finland
TA8a.9: Streaming Block Kaczmarz for Structured Linear Systems
Sophia Palomares, Deanna Needell, University of California, Los Angeles, United States
TA8a.10: Kernel Ensemble for Disagreement-Aware Acquisition in Bayesian Optimization and Active Learning
Heng Zhang, Haotian Xiang, Qin Lu, University of Georgia, United States
TA8a.11: Large System Analysis of Hyperparameter Optimization in Sparse Bayesian Learning
Fangqing Xiao, Yunnan University, China; Jichao Chen, Zilu Zhao, Dirk Slock, EURECOM, France
TA8a.12: Binarization in low-rank approximation and non-negative matrix factorization
Alexander Sietsema, Deanna Needell, University of California, Los Angeles, United States; Yaniv Plan, University of British Columbia, Canada
TA8a.13: Approximate Message Passing for Quantum State Tomography
Noah Siekierski, Kausthubh Chandramouli, NC State University, United States; Christian Kummerle, University of Central Florida, United States; Bojko Bakalov, Dror Baron, NC State University, United States
TA8a.14: Compressive Hyperspectral Imaging with Plasmonic Filters and Approximate Message Passing
Kausthubh Chandramouli, NC State University, United States; Edward Sachet, Christopher Shelton, Third Floor Materials, United States; Bojko Bakalov, Dror Baron, NC State University, United States
TA8a.15: Tunable Linear Generative Priors for Inverse Problems
Zhaoming Li, Paul Hand, Northeastern University, United States
TA8a.16: Mixture-Prior Variational Auto-encoders for Outlier-Aware Generative Learning
Alireza Sadeghi, Abraham Jaeger-Mountain, University of Minnesota, United States; Alba Pages Zamora, Polytechnic University of Catalonia, Spain; Georgios B. Giannakis, University of Minnesota, United States
Contacts