Arnak Dalalyan
13 papers · 2009–2023 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(4)
π
Trend Setter
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(82)
Top co-authors
Research topics
Machine Learning
(13)
Optimization & Theory
(12)
Mathematics & Optimization
(7)
Core Methods
(6)
Optimization
(4)
Artificial Intelligence
(2)
Deep Learning
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Learning Types Β· Machine Learning
(2)
Mathematics
(2)
Computer Vision
(1)
Analysis
(1)
Application Areas
(1)
Learning Types Β· Deep Learning
(1)
Keywords
robust estimation
(3)
risk bound
(3)
minimax rate
(2)
outlier detection
(2)
wasserstein distance
(2)
markov chain monte carlo
(2)
second-order cone programming
(2)
sparse representation
(1)
computer vision
(1)
adversarial learning
(1)
group sparsity
(1)
dimension reduction
(1)
model aggregation
(1)
asymptotic analysis
(1)
statistical analysis
(1)
nonparametric regression
(1)
gradient descent
(1)
feature matching
(1)
maximum a posteriori
(1)
oracle inequality
(1)
Papers
Matching Map Recovery with an Unknown Number of Outliers
AISTATS 2023
Risk bounds for aggregated shallow neural networks using Gaussian priors
COLT 2022
Statistical guarantees for generative models without domination
ALT 2021
A nonasymptotic law of iterated logarithm for general M-estimators
AISTATS 2020
Penalized Langevin dynamics with vanishing penalty for smooth and log-concave targets
NeurIPS 2020
Outlier-robust estimation of a sparse linear model using β_1-penalized Huber's M-estimator
NeurIPS 2019
Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent
COLT 2017
Learning Heteroscedastic Models by Convex Programming under Group Sparsity
ICML 2013
Permutation estimation and minimax rates of identifiability
AISTATS 2013
Fused sparsity and robust estimation for linear models with unknown variance
NeurIPS 2012
Wilksβ phenomenon and penalized likelihood-ratio test for nonparametric curve registration
AISTATS 2012
Optimal aggregation of affine estimators
COLT 2011
L_1-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry
NeurIPS 2009