Taylan Cemgil
10 papers · 2010–2022 · 7 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (34) 🌍 Conference Polyglot · Silver
🏆
Grand Slam
🗃️
Keyword Collector
(54)
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory
(6)
Artificial Intelligence
(5)
Deep Learning
(5)
Bayesian & Probabilistic · Machine Learning
(4)
Core Methods
(4)
Learning Types · Machine Learning
(4)
Models
(4)
Application Areas
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Core AI
(2)
Learning Types · Deep Learning
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Applications
(1)
Keywords
markov chain monte carlo
(3)
bayesian inference
(3)
variational autoencoder
(3)
adversarial robustness
(2)
importance sampling
(2)
representation learning
(2)
quasi-newton method
(2)
posterior sampling
(2)
posterior inference
(2)
stochastic gradient markov chain monte carlo
(2)
bayesian nonparametrics
(1)
uncertainty quantification
(1)
self-supervised learning
(1)
adversarial training
(1)
decision making
(1)
langevin dynamics
(1)
particle filtering
(1)
image classification
(1)
posterior distribution
(1)
domain generalization
(1)
Papers
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
ICML 2022
Role of Human-AI Interaction in Selective Prediction
AAAI 2022
Unbiased gradient estimation for variational auto-encoders using coupled Markov chains
UAI 2021
Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations
CVPR 2020
Adversarially Robust Representations with Smooth Encoders
ICLR 2020
The Autoencoding Variational Autoencoder
NeurIPS 2020
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization
ICML 2018
Stochastic Quasi-Newton Langevin Monte Carlo
ICML 2016
Summary Statistics for Partitionings and Feature Allocations
NeurIPS 2013
Sequential Monte Carlo Samplers for Dirichlet Process Mixtures
AISTATS 2010