Michal Moshkovitz
14 papers · 2017–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (8) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (9)
🏃
Academic Marathon
(8)
🧭
Keyword Pioneer
🏆
Keyword Champion
(3)
🗃️
Keyword Collector
(58)
💎
Century Club
(14)
🔥
Unstoppable
(6)
⚡
Prolific Year
(5)
Conferences
ALT (4)
ICML (3)
NIPS (3)
COLT (2)
AAAI (1)
EMNLP (1)
Top co-authors
Keywords
approximation algorithm
(6)
k-means clustering
(4)
bounded memory
(3)
sample complexity
(2)
markov decision process
(2)
vc dimension
(2)
center selection
(2)
decision tree
(2)
online algorithm
(2)
sample compression
(1)
statistical query
(1)
robust classification
(1)
adversarial robustness
(1)
query complexity
(1)
data stream
(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
Principal-Agent Reward Shaping in MDPs
AAAI 2024
Partially Interpretable Models with Guarantees on Coverage and Accuracy
ALT 2024
Online k-means Clustering on Arbitrary Data Streams
ALT 2023
Finding Safe Zones of Markov Decision Processes Policies
NIPS 2023
Framework for Evaluating Faithfulness of Local Explanations
ICML 2022
Unexpected Effects of Online no-Substitution $k$-means Clustering
ALT 2021
No-substitution k-means Clustering with Adversarial Order
ALT 2021
Bounded Memory Active Learning through Enriched Queries
COLT 2021
A Constant Approximation Algorithm for Sequential Random-Order No-Substitution k-Median Clustering
NIPS 2021
Connecting Interpretability and Robustness in Decision Trees through Separation
ICML 2021
Explainable k-Means and k-Medians Clustering
ICML 2020
Towards a Combinatorial Characterization of Bounded-Memory Learning
NIPS 2020
Mixing Implies Lower Bounds for Space Bounded Learning
COLT 2017