Stochastic Gradient Optimization Techniques

131 faculty research Stochastic Gradient Optimization Techniques on GradNova.

Associate Professor, EECS – Electrical and Computer Engineering

Department of Electrical and Computer Engineering

Principled Methods and Theories for Data Science and Machine Learning to Enable Resource Efficiency and Trustworthy Decision-Making

Sparse and Compressive Sensing Techniques

Stochastic Gradient Optimization Techniques

Domain Adaptation and Few-Shot Learning

Nikhil Chopra

Professor; Director of Undergraduate Studies

Department of Electrical and Computer Engineering

University of Maryland, College Park

Distributed Control Multi-Agent Systems

Robot Manipulation and Learning

Stability and Control of Uncertain Systems

Stochastic Gradient Optimization Techniques

Richard Y. Zhang

Associate Professor

Electrical and Computer Engineering

University of Illinois Urbana-Champaign

Advanced Optimization Algorithms Research

Matrix Theory and Algorithms

Power System Optimization and Stability

Sparse and Compressive Sensing Techniques

Hulya Seferoglu

Professor Department of Electrical and Computer Engineering

Department of Electrical and Computer Engineering

University of Illinois Chicago

Advanced Wireless Network Optimization

Cooperative Communication and Network Coding

Privacy-Preserving Technologies in Data

Stochastic Gradient Optimization Techniques

Stephen R Becker

Associate Professor

Department of Electrical, Computer and Energy Engineering

University of Colorado Boulder

Advanced Optimization Algorithms Research

Sparse and Compressive Sensing Techniques

Statistical Methods and Inference

Stochastic Gradient Optimization Techniques

Jialin Liu

School of Data, Mathematical and Statistical Sciences

Computer Science

University of Central Florida

Distributed Control Multi-Agent Systems

Industrial Vision Systems and Defect Detection

Metaheuristic Optimization Algorithms Research

Sparse and Compressive Sensing Techniques

Yao Qin

Associate Professor

Department of Electrical and Computer Engineering

University of California, Santa Barbara

Computer Vision

Machine Learning

Multi-Modality Modeling

Robustness in Healthcare

Nina Miolane

Assistant Professor

Department of Electrical and Computer Engineering

University of California, Santa Barbara

Computational Medicine

Computational Neuroscience

Equivariant Deep Learning

Geometric Deep Learning

Haewon Jeong

Assistant Professor

Department of Electrical and Computer Engineering

University of California, Santa Barbara

AI for Scientific Discovery

Information Theory and Statistical Inference

Machine Learning, Ethical Ai, Responsible Computing, Information Theory, Large-Scale Distributed Computing

Trustworthy and Robust AI

Rahul Parhi

Assistant Professor

Department of Electrical and Computer Engineering

University of California San Diego

Image and Signal Denoising Methods

Model Reduction and Neural Networks

Neural Networks and Applications

Sparse and Compressive Sensing Techniques

Yanning Shen

Associate Professor of Electrical Engineering and Computer Science

Department of Electrical Engineering and Computer Science

University of California, Irvine

Data Mining

Machine Learning

Network Science and Statistical-Signal Processing

Advanced Graph Neural Networks

Weijian Yang

Associate Professor and Graduate Advisor

Department of Electrical and Computer Engineering

University of California, Davis

Advanced Fiber Optic Sensors

Photonic and Optical Devices

Semiconductor Lasers and Optical Devices

Sparse and Compressive Sensing Techniques

Sujay Sanghavi

Professor, Bettie Margaret Smith Professor of Engineering

Department of Electrical and Computer Engineering

The University of Texas at Austin

Machine Learning and Algorithms

Optimization and Search Problems

Sparse and Compressive Sensing Techniques

Statistical Methods and Inference

Eric Price

Associate Professor

Computer Science

The University of Texas at Austin

Theoretical Computer Science

Sparse and Compressive Sensing Techniques

Machine Learning and Algorithms

Complexity and Algorithms in Graphs

Tianxi Ji, Ph.D.

Assistant Professor

Computer Science

Texas Tech University

Blockchain Technology Applications and Security

Cryptography and Data Security

Internet Traffic Analysis and Secure E-Voting

Privacy-Preserving Technologies in Data

Yanmin Gong

Associate Professor, School of Engineering Medicine

Computer Science

Texas A&M University

Cryptography and Data Security

IoT and Edge/fog Computing

Mobile Crowdsensing and Crowdsourcing

Privacy-Preserving Technologies in Data

Ji Liu

Associate Professor

Department of Electrical and Computer Engineering

Stony Brook University

Cloud Computing and Resource Management

Distributed Control Multi-Agent Systems

Energy Efficient Wireless Sensor Networks

Reinforcement Learning in Robotics

Anand D. Sarwate

Professor

Department of Electrical and Computer Engineering

Rutgers, The State University of New Jersey

Distributed Control Multi-Agent Systems

Functional Brain Connectivity Studies

Privacy-Preserving Technologies in Data

Stochastic Gradient Optimization Techniques

Madhusudan Singh

Associate Teaching Professor

Computer Science and Engineering

Pennsylvania State University

Quantum Computing Algorithms and Architecture

Quantum Information and Cryptography

Quantum Mechanics and Applications

Risk and Portfolio Optimization

Chunjiang Zhu

Assistant Professor

Computer Science

Old Dominion University

Advanced Graph Neural Networks

Caching and Content Delivery

Complexity and Algorithms in Graphs

Stochastic Gradient Optimization Techniques

Yingbin Liang

Professor, Electrical and Computer Engineering

Department of Electrical and Computer Engineering

The Ohio State University

Systems (control, Signal Processing and Computer Vision)

Privacy-Preserving Technologies in Data

Advanced Graph Neural Networks

Stochastic Gradient Optimization Techniques

Aritra Mitra

Assistant Professor

Department of Electrical and Computer Engineering

North Carolina State University

Age of Information Optimization

Distributed Control Multi-Agent Systems

Distributed Sensor Networks and Detection Algorithms

Privacy-Preserving Technologies in Data

Wujie Wen

Associate Professor

Computer Science

North Carolina State University

Advanced Neural Network Applications

Adversarial Robustness in Machine Learning

Cryptography and Data Security

Privacy-Preserving Technologies in Data

Anna Choromanska

Associate Professor; Alfred. P. Sloan Fellow

Department of Electrical and Computer Engineering

New York University

Advanced Neural Network Applications

Adversarial Robustness in Machine Learning

Domain Adaptation and Few-Shot Learning

Machine Learning and Data Classification

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