Lior Horesh
10 papers · 2015–2024 · 7 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(5)
Mathematics & Optimization
(5)
Mathematics
(4)
Optimization
(4)
Learning Types
(3)
Artificial Intelligence
(2)
Data Science & Analytics
(2)
Deep Learning
(2)
Core AI
(2)
Core Methods
(2)
Optimization & Theory
(2)
Computer Science
(1)
Interdisciplinary
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Keywords
decentralized optimization
(2)
recommender system
(2)
multi-agent reinforcement learning
(2)
distributed learning
(2)
causal reasoning
(1)
matrix factorization
(1)
transformer architecture
(1)
policy gradient
(1)
reinforcement learning
(1)
plan generation
(1)
robust classification
(1)
graph clustering
(1)
quantum computing
(1)
quantum machine learning
(1)
adversarial training
(1)
decision making
(1)
topological data analysis
(1)
community detection
(1)
constrained optimization
(1)
stochastic optimization
(1)
Papers
Asynchronous Randomized Trace Estimation
AISTATS 2024
Topological data analysis on noisy quantum computers
ICLR 2024
Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers
IJCAI 2023
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization
NeurIPS 2022
Distributed adversarial training to robustify deep neural networks at scale
UAI 2022
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra
ICML 2022
Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning
AAAI 2021
Projection techniques to update the truncated SVD of evolving matrices with applications
ICML 2021
Thinking Fast and Slow in AI
AAAI 2021
Community Detection Using Time-Dependent Personalized PageRank
ICML 2015