Ata Kaban
13 papers · 2012–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (13) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(13)
🐺
Lone Wolf
(5)
🗃️
Keyword Collector
(59)
🚀
Conference Pioneer
💎
Century Club
(13)
📈
Trend Setter
❓
The Questioner
Conferences
ACML (3)
ICML (3)
AISTATS (2)
ALT (2)
AAAI (1)
NIPS (1)
UAI (1)
Top co-authors
Research topics
Keywords
random projection
(6)
dimensionality reduction
(3)
generalization error
(3)
label noise
(2)
error bound
(2)
weakly supervised classification
(1)
pac learning
(1)
stochastic gradient descent
(1)
covariance matrix
(1)
sample complexity
(1)
intrinsic dimension
(1)
algorithmic stability
(1)
gradient boosting
(1)
empirical risk minimization
(1)
high-dimensional learning
(1)
multi-class classification
(1)
linear regression
(1)
local rademacher complexity
(1)
multi-output learning
(1)
dimension reduction
(1)
Papers
Learning to Sample in Stochastic Optimization
UAI 2025
Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms
NIPS 2023
Optimistic Bounds for Multi-output Learning
ICML 2020
Exploiting geometric structure in mixture proportion estimation with generalised Blanchard-Lee-Scott estimators
ALT 2019
Dimension-Free Error Bounds from Random Projections
AAAI 2019
Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise
ICML 2019
On Compressive Ensemble Induced Regularisation: How Close is the Finite Ensemble Precision Matrix to the Infinite Ensemble?
ALT 2017
A New Look at Nearest Neighbours: Identifying Benign Input Geometries via Random Projections
ACML 2015
Non-asymptotic Analysis of Compressive Fisher Discriminants in terms of the Effective Dimension
ACML 2015
New Bounds on Compressive Linear Least Squares Regression
AISTATS 2014
Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions
ACML 2013
Sharp Generalization Error Bounds for Randomly-projected Classifiers
ICML 2013
Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space
AISTATS 2012