Ran Gilad-Bachrach
13 papers · 2012–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (12) π Conference Polyglot (5)
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Cross-Pollinator
(14)
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Renaissance Researcher
(5)
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Conference Polyglot
(5)
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Century Club
(13)
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Trend Setter
ποΈ
Keyword Collector
(70)
Conferences
ICML (5)
AAAI (2)
AISTATS (2)
JMLR (2)
NIPS (2)
Top co-authors
Keywords
explainable ai
(3)
regret bound
(2)
neural network
(2)
graph classification
(2)
robust statistics
(2)
homomorphic encryption
(2)
decision tree
(2)
graph neural network
(2)
transfer learning
(1)
graph learning
(1)
probabilistic modeling
(1)
attention mechanism
(1)
knowledge distillation
(1)
topic modeling
(1)
stochastic optimization
(1)
secure computation
(1)
feature attribution
(1)
reward modeling
(1)
feature importance
(1)
parameter estimation
(1)
Papers
TREE-G: Decision Trees Contesting Graph Neural Networks
AAAI 2024
The Intelligible and Effective Graph Neural Additive Network
NIPS 2024
Graph Neural Networks Use Graphs When They Shouldnβt
ICML 2024
A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits
AISTATS 2022
Robust Model Compression Using Deep Hypotheses
AAAI 2021
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data
ICML 2021
Trees with Attention for Set Prediction Tasks
ICML 2021
Low Latency Privacy Preserving Inference
ICML 2019
CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
ICML 2016
DART: Dropouts meet Multiple Additive Regression Trees
AISTATS 2015
Classifier Selection using the Predicate Depth
JMLR 2013
Using multiple samples to learn mixture models
NIPS 2013
Optimal Distributed Online Prediction Using Mini-Batches
JMLR 2012