Tolga Ergen
16 papers · 2020–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (21) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π€ Dynamic Duo (15)
π
Keyword Champion
(3)
π¬
Deep Specialist
(14)
ποΈ
Keyword Collector
(53)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(15)
Optimization & Theory Β· Machine Learning
(15)
Deep Learning
(13)
Architectures
(10)
Core Methods
(4)
Artificial Intelligence
(3)
Core AI Β· Artificial Intelligence
(3)
Optimization & Theory Β· Deep Learning
(3)
Techniques
(3)
Computer Vision
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Core AI Β· Computer Vision
(1)
Generation
(1)
Models
(1)
Keywords
convex optimization
(14)
neural network
(6)
relu network
(5)
deep neural network
(4)
spline interpolation
(3)
convex duality
(3)
weight decay
(3)
gradient descent
(2)
neural network optimization
(2)
weight decay regularization
(2)
batch normalization
(2)
representation learning
(2)
relu activation
(2)
semi-infinite duality
(2)
global optimization
(1)
feature selection
(1)
group lasso
(1)
matrix factorization
(1)
vision transformer
(1)
text summarization
(1)
Papers
MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows
NAACL 2025
Scaling Convex Neural Networks with Burer-Monteiro Factorization
ICLR 2024
Fixing the NTK: From Neural Network Linearizations to Exact Convex Programs
NeurIPS 2023
Globally Optimal Training of Neural Networks with Threshold Activation Functions
ICLR 2023
Parallel Deep Neural Networks Have Zero Duality Gap
ICLR 2023
Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU Networks
NeurIPS 2023
Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization
ICLR 2022
Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions
ICLR 2022
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers
ICML 2022
Convex Geometry and Duality of Over-parameterized Neural Networks
JMLR 2021
Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs
ICML 2021
Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time
ICLR 2021
Revealing the Structure of Deep Neural Networks via Convex Duality
ICML 2021
Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms
ICLR 2021
Convex Geometry of Two-Layer ReLU Networks: Implicit Autoencoding and Interpretable Models
AISTATS 2020
Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks
ICML 2020