Michal Moshkovitz
14 papers · 2017–2025 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (27)
π
Keyword Champion
(3)
ποΈ
Keyword Collector
(60)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
Top co-authors
Research topics
Machine Learning
(14)
Core Methods
(9)
Optimization & Theory
(7)
Artificial Intelligence
(5)
Mathematics & Optimization
(5)
Core AI
(5)
Learning Types Β· Machine Learning
(4)
Optimization
(4)
Computer Science
(2)
Reinforcement Learning
(2)
Methods
(2)
Deep Learning
(1)
Applications
(1)
Foundations
(1)
Learning Types Β· Deep Learning
(1)
Keywords
approximation algorithm
(6)
k-means clustering
(4)
decision tree
(3)
bounded memory
(3)
sample complexity
(2)
vc dimension
(2)
markov decision process
(2)
center selection
(2)
online algorithm
(2)
sample compression
(1)
statistical query
(1)
robust classification
(1)
adversarial robustness
(1)
query complexity
(1)
streaming algorithm
(1)
policy learning
(1)
k-median clustering
(1)
interpretable machine learning
(1)
hypothesis class
(1)
stationary distribution
(1)
Papers
MATCH: Task-Driven Code Evaluation through Contrastive Learning
EMNLP 2025
Partially Interpretable Models with Guarantees on Coverage and Accuracy
ALT 2024
Principal-Agent Reward Shaping in MDPs
AAAI 2024
Finding Safe Zones of Markov Decision Processes Policies
NeurIPS 2023
Online k-means Clustering on Arbitrary Data Streams
ALT 2023
Framework for Evaluating Faithfulness of Local Explanations
ICML 2022
A Constant Approximation Algorithm for Sequential Random-Order No-Substitution k-Median Clustering
NeurIPS 2021
Bounded Memory Active Learning through Enriched Queries
COLT 2021
Connecting Interpretability and Robustness in Decision Trees through Separation
ICML 2021
No-substitution k-means Clustering with Adversarial Order
ALT 2021
Unexpected Effects of Online no-Substitution k-means Clustering
ALT 2021
Explainable k-Means and k-Medians Clustering
ICML 2020
Towards a Combinatorial Characterization of Bounded-Memory Learning
NeurIPS 2020
Mixing Implies Lower Bounds for Space Bounded Learning
COLT 2017