Yaron Singer
26 papers · 2015–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (47) π Academic Marathon Β· Half π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Trendsetter Combo
(3)
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Dynamic Duo
(11)
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Deep Specialist
(15)
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Topic Evolution
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Keyword Champion
(8)
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Keyword Pioneer
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Keyword Collector
(108)
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(21)
Mathematics & Optimization
(20)
Optimization
(19)
Optimization & Theory
(16)
Artificial Intelligence
(6)
Core AI
(6)
Core Methods
(6)
Learning Types Β· Machine Learning
(5)
Mathematics
(4)
Deep Learning
(3)
Learning Types Β· Deep Learning
(3)
Data Science & Analytics
(2)
Application Areas
(2)
Applications
(2)
Knowledge & Reasoning
(1)
Keywords
approximation algorithm
(9)
submodular optimization
(8)
cardinality constraint
(8)
sample complexity
(6)
submodular maximization
(6)
submodular function
(5)
combinatorial optimization
(5)
parallel algorithm
(4)
social network
(4)
approximation guarantee
(4)
influence maximization
(3)
independent cascade model
(3)
greedy algorithm
(3)
lower bound
(2)
language model
(2)
stochastic optimization
(2)
convex optimization
(2)
pac learning
(2)
robust optimization
(2)
adaptive sampling
(2)
Papers
Large Language Models Encode Semantics and Alignment in Linearly Separable Representations
IJCNLP 2025
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
NeurIPS 2024
Instance Specific Approximations for Submodular Maximization
ICML 2021
An Optimal Elimination Algorithm for Learning a Best Arm
NeurIPS 2020
Investigating Gender Bias in Language Models Using Causal Mediation Analysis
NeurIPS 2020
Predicting Choice with Set-Dependent Aggregation
ICML 2020
The Adaptive Complexity of Maximizing a Gross Substitutes Valuation
NeurIPS 2020
The FAST Algorithm for Submodular Maximization
ICML 2020
Fast Parallel Algorithms for Statistical Subset Selection Problems
NeurIPS 2019
Robust Influence Maximization for Hyperparametric Models
ICML 2019
Approximation Guarantees for Adaptive Sampling
ICML 2018
Learning Diffusion using Hyperparameters
ICML 2018
Learning to Optimize Combinatorial Functions
ICML 2018
Non-monotone Submodular Maximization in Exponentially Fewer Iterations
NeurIPS 2018
Optimization for Approximate Submodularity
NeurIPS 2018
Minimizing a Submodular Function from Samples
NeurIPS 2017
Robust Guarantees of Stochastic Greedy Algorithms
ICML 2017
Robust Optimization for Non-Convex Objectives
NeurIPS 2017
Submodular Optimization under Noise
COLT 2017
The Importance of Communities for Learning to Influence
NeurIPS 2017
The Sample Complexity of Optimizing a Convex Function
COLT 2017
Learning Sparse Combinatorial Representations via Two-stage Submodular Maximization
ICML 2016
Maximization of Approximately Submodular Functions
NeurIPS 2016
The Power of Optimization from Samples
NeurIPS 2016
Information-theoretic lower bounds for convex optimization with erroneous oracles
NeurIPS 2015
Learnability of Influence in Networks
NeurIPS 2015