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Stochastic Gradient Optimization Techniques

Stochastic Gradient Optimization Techniques

131 faculty research Stochastic Gradient Optimization Techniques on GradNova.

S
Machine Learning
Security & Privacy
Privacy-Preserving Technologies in Data
Sparse and Compressive Sensing Techniques
+3
Y
Theoretical Computer Science
Complexity and Algorithms in Graphs
Optimization and Search Problems
Advanced Graph Theory Research
+2
S
Data Mining
Generative AI
Machine Learning
Theoretical Computer Science
+5
M
Mahdi Soltanolkotabi

Andrew and Erna Viterbi Early Career Chair and Professor of Electrical and Computer Engineering, Computer Science, and Industrial and Systems Engineering

Ming Hsieh Department of Electrical and Computer Engineering

University of Southern California

Domain Adaptation and Few-Shot Learning
Machine Learning and Algorithms
Privacy-Preserving Technologies in Data
Sparse and Compressive Sensing Techniques
+1
S
Salman Avestimehr

Dean's Professor of Electrical and Computer Engineering and Professor of Electrical and Computer Engineering and Computer Science

Ming Hsieh Department of Electrical and Computer Engineering

University of Southern California

Adversarial Robustness in Machine Learning
Cooperative Communication and Network Coding
Cryptography and Data Security
Privacy-Preserving Technologies in Data
+1
H
Hangfeng He

Assistant Professor of Computer Science and Data Science

Computer Science

University of Rochester

Machine Learning
Natural Language Processing
Reasoning
Topic Modeling
+4
A
Alejandro Ribeiro

Professor Solomon and Sylvia G. Charp Professor of Electrical and Systems Engineering Electrical and Systems Engineering Primary Computer and Information Science

Department of Electrical and Systems Engineering

University of Pennsylvania

Advanced Graph Neural Networks
Complex Network Analysis Techniques
Distributed Control Multi-Agent Systems
Sparse and Compressive Sensing Techniques
+1
C
Machine Learning
Random Sketching
Statistical Learning Theory
Trustworthy Learning
+5
Q
Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Microbial Community Ecology and Physiology
Sparse and Compressive Sensing Techniques
+1
J
Advanced Image Processing Techniques
Advanced Optimization Algorithms Research
Matrix Theory and Algorithms
Sparse and Compressive Sensing Techniques
+1
A
Advanced Data Storage Technologies
Cloud Computing and Resource Management
Cryptography and Data Security
Privacy-Preserving Technologies in Data
+1
M
Michał Dereziński

Assistant Professor, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Dimensionality Reduction
Machine Learning and Statistical Learning Theory
Randomized Numerical Linear Algebra
Scalable Stochastic and Distributed Optimization
+5
P
Advanced Wireless Communication Technologies
Domain Adaptation and Few-Shot Learning
Generative Adversarial Networks and Image Synthesis
Reinforcement Learning in Robotics
+1
R
Algorithms & Theory
Computing & Software Systems
Optimization and Search Problems
Parallel Computing and Optimization Techniques
+3
C
Climate Variability and Models
Hydrological Forecasting Using AI
Meteorological Phenomena and Simulations
Stochastic Gradient Optimization Techniques
+1
Q
Cryptographic Implementations and Security
Cryptography and Data Security
Cryptography and Residue Arithmetic
Privacy-Preserving Technologies in Data
+1
A
Advanced Bandit Algorithms Research
Distributed Control Multi-Agent Systems
Reinforcement Learning in Robotics
Sparse and Compressive Sensing Techniques
+1
X
Model Reduction and Neural Networks
Numerical Methods in Inverse Problems
Stochastic Gradient Optimization Techniques
I
Advanced Bandit Algorithms Research
Evolutionary Game Theory and Cooperation
Game Theory and Applications
Reinforcement Learning in Robotics
+1
B
Artificial Intelligence (ai)
Control, Intelligent Systems, and Robotics (cir)
Signal Processing (sp)
Sparse and Compressive Sensing Techniques
+4
N
Artificial Intelligence (ai)
Theory (thy)
Advanced Bandit Algorithms Research
Machine Learning and Algorithms
+3
M
Artificial Intelligence & Machine Learning
Security & Privacy
Statistical & Theoretical Machine Learning
Systems & Networking
+5
M
Artificial Intelligence & Machine Learning
Mathematical Programming
Scientific Computing
Theoretical Computer Science
+5
K
Machine Learning
Theoretical Computer Science
Sparse and Compressive Sensing Techniques
Stochastic Gradient Optimization Techniques
+3
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