Christoph Studer
16 papers · 2014–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Trendsetter Combo
(4)
π§
Keyword Pioneer
π
Triple Crown
π€
Dynamic Duo
(13)
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(86)
Venues
Top co-authors
Research topics
Machine Learning
(15)
Learning Types Β· Machine Learning
(8)
Deep Learning
(7)
Optimization & Theory Β· Machine Learning
(7)
Artificial Intelligence
(5)
Mathematics & Optimization
(5)
Core AI
(5)
Optimization
(5)
Optimization & Theory Β· Deep Learning
(4)
Application Areas
(3)
Core Methods
(3)
Computer Vision
(2)
Bayesian & Probabilistic
(2)
Learning Types Β· Deep Learning
(2)
Interdisciplinary
(1)
Keywords
adversarial attack
(4)
convex optimization
(3)
adversarial robustness
(2)
adversarial example
(2)
transfer learning
(2)
phase retrieval
(2)
item response theory
(2)
clean-label poisoning
(2)
neural network
(2)
non-convex optimization
(1)
image restoration
(1)
few-shot learning
(1)
collaborative filtering
(1)
model robustness
(1)
model quantization
(1)
neural network optimization
(1)
domain adaptation
(1)
adversarial training
(1)
image reconstruction
(1)
data poisoning
(1)
Papers
Cauchy-Schwarz Regularizers
ICLR 2025
WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic
ICLR 2021
Adversarially robust transfer learning
ICLR 2020
Adversarial training for free!
NeurIPS 2019
Are adversarial examples inevitable?
ICLR 2019
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets
ICML 2019
An Estimation and Analysis Framework for the Rasch Model
ICML 2018
Linear Spectral Estimators and an Application to Phase Retrieval
ICML 2018
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
NeurIPS 2018
Visualizing the Loss Landscape of Neural Nets
NeurIPS 2018
Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation
CVPR 2017
Convex Phase Retrieval without Lifting via PhaseMax
ICML 2017
Training Quantized Nets: A Deeper Understanding
NeurIPS 2017
Dealbreaker: A Nonlinear Latent Variable Model for Educational Data
ICML 2016
Estimating Sparse Signals With Smooth Support via Convex Programming and Block Sparsity
CVPR 2016
Sparse Factor Analysis for Learning and Content Analytics
JMLR 2014