Leena Chennuru Vankadara
9 papers · 2018–2024 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(21)
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Keyword Collector
(51)
Venues
Top co-authors
Research topics
Machine Learning
(9)
Core Methods
(6)
Optimization & Theory · Machine Learning
(6)
Deep Learning
(3)
Architectures
(3)
Optimization & Theory · Deep Learning
(3)
Artificial Intelligence
(2)
Core AI
(2)
Mathematics & Optimization
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Techniques
(1)
Keywords
causal inference
(1)
dimensionality reduction
(1)
learning theory
(1)
metric learning
(1)
feature learning
(1)
statistical consistency
(1)
non-convex optimization
(1)
graph clustering
(1)
transductive learning
(1)
ridge regression
(1)
hyperparameter transfer
(1)
sharpness-aware minimization
(1)
neural network optimization
(1)
euclidean space
(1)
time series forecasting
(1)
rademacher complexity
(1)
kernel clustering
(1)
classification accuracy
(1)
transductive inference
(1)
neural network architecture
(1)
Papers
$\boldsymbol{\mu}\mathbf{P^2}$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling
NeurIPS 2024
Explaining Kernel Clustering via Decision Trees
ICLR 2024
On Feature Learning in Structured State Space Models
NeurIPS 2024
Insights into Ordinal Embedding Algorithms: A Systematic Evaluation
JMLR 2023
Causal forecasting: generalization bounds for autoregressive models
UAI 2022
Graphon based Clustering and Testing of Networks: Algorithms and Theory
ICLR 2022
Interpolation and Regularization for Causal Learning
NeurIPS 2022
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks
NeurIPS 2021
Measures of distortion for machine learning
NeurIPS 2018