Somayeh Sojoudi
29 papers · 2016–2025 · 8 venues · across top CS/AI venues
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Research topics
Machine Learning
(25)
Optimization & Theory
(16)
Mathematics & Optimization
(13)
Optimization
(13)
Deep Learning
(10)
Core Methods
(9)
Architectures
(7)
Application Areas
(6)
Artificial Intelligence
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Core AI
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Learning Types
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Mathematics
(4)
Reinforcement Learning
(3)
Methods
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Computer Vision
(2)
Keywords
non-convex optimization
(6)
adversarial robustness
(4)
restricted isometry property
(4)
matrix sensing
(4)
spurious local minima
(4)
graph neural network
(3)
certified robustness
(3)
burer-monteiro factorization
(3)
gradient descent
(3)
matrix completion
(3)
graphical lasso
(3)
semidefinite programming
(2)
critical point
(2)
spurious solution
(2)
matrix recovery
(2)
low-rank matrix
(2)
dynamic regret
(2)
sparse inverse covariance
(2)
low-rank optimization
(2)
landscape analysis
(2)
Papers
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification
JMLR 2025
Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses
AISTATS 2024
ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation
Interspeech 2024
Mixing classifiers to alleviate the accuracy-robustness trade-off
L4DC 2024
Pausing Policy Learning in Non-stationary Reinforcement Learning
ICML 2024
Ranking Manipulation for Conversational Search Engines
EMNLP 2024
Soft convex quantization: revisiting Vector Quantization with convex optimization
L4DC 2024
Transport of Algebraic Structure to Latent Embeddings
ICML 2024
Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing
NeurIPS 2023
Asymmetric Certified Robustness via Feature-Convex Neural Networks
NeurIPS 2023
Noisy Low-rank Matrix Optimization: Geometry of Local Minima and Convergence Rate
AISTATS 2023
Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points
ICML 2023
Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing
AAAI 2023
Tempo Adaptation in Non-stationary Reinforcement Learning
NeurIPS 2023
Certified Robustness via Locally Biased Randomized Smoothing
L4DC 2022
Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods
AISTATS 2022
Safe Reinforcement Learning with Chance-constrained Model Predictive Control
L4DC 2022
Sharp Restricted Isometry Property Bounds for Low-Rank Matrix Recovery Problems with Corrupted Measurements
AAAI 2022
Graph Neural Networks for Distributed Linear-Quadratic Control
L4DC 2021
Improving Fairness and Privacy in Selection Problems
AAAI 2021
Power up! Robust Graph Convolutional Network via Graph Powering
AAAI 2021
Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Rank-1 Robust Principal Component Analysis
JMLR 2020
Implicit Graph Neural Networks
NeurIPS 2020
Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions
JMLR 2019
Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery
JMLR 2019
A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization
NeurIPS 2018
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery?
NeurIPS 2018
Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion
ICML 2018
Equivalence of Graphical Lasso and Thresholding for Sparse Graphs
JMLR 2016