Mihail Stoian

34 papers A* 1A 2B 2Misc 1Journal 23Unranked 5
YearRankTypeTitle / Venue / Authors
2026 A conf
Mind the Gap. Doubling Constant Parametrization of Weighted Problems: TSP, Max-Cut, and More.
STACS
Mihail Stoian
2026 J jnl
Mind the Gap. Doubling Constant Parametrization of Weighted Problems: TSP, Max-Cut, and More.
CoRR
Mihail Stoian
2026 A conf
Waiting to Decompress: The Economics of LLM-Based Compression.
CIDR
Andreas Kipf, Tobias Schmidt, Ping-Lin Kuo, Skander Krid, Moritz Rengert, Luca Heller, Andreas Zimmerer, Mihail Stoian, Varun Pandey, Alexander van Renen
2026 J jnl
xBound: Join Size Lower Bounds.
CoRR
Mihail Stoian, Tiemo Bang, Hangdong Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian, Andreas Kipf
2025 J jnl
Instance-Optimized String Fingerprints.
CoRR
Mihail Stoian, Johannes Thürauf, Andreas Zimmerer, Alexander van Renen, Andreas Kipf
2025 Misc conf
Optimizing Linearized Join Enumeration by Adapting to the Query Structure.
BTW
Altan Birler, Mihail Stoian, Thomas Neumann
2025 J jnl
Parachute: Single-Pass Bi-Directional Information Passing.
CoRR
Mihail Stoian, Andreas Zimmerer, Skander Krid, Amadou Latyr Ngom, Jialin Ding, Tim Kraska, Andreas Kipf
2025 J jnl
Parachute: Single-Pass Bi-Directional Information Passing.
Proc. VLDB Endow.
Mihail Stoian, Andreas Zimmerer, Skander Krid, Amadou Ngom, Jialin Ding, Tim Kraska, Andreas Kipf
2025 J jnl
Redbench: A Benchmark Reflecting Real Workloads.
CoRR
Skander Krid, Mihail Stoian, Andreas Kipf
2025 J jnl
Redbench: Workload Synthesis From Cloud Traces.
CoRR
Johannes Wehrstein, Roman Heinrich, Mihail Stoian, Skander Krid, Martin Stemmer, Andreas Kipf, Carsten Binnig, Muhammad El-Hindi
2025 B conf
Virtual: Compressing Data Lake Files.
EDBT
Mihail Stoian, Alexander van Renen, Jan Kobiolka, Ping-Lin Kuo, Andreas Zimmerer, Josif Grabocka, Andreas Kipf
2024 B conf
Approximate Min-Sum Subset Convolution.
WAOA
Mihail Stoian
2024 — conf
Corra: Correlation-Aware Column Compression.
VLDB Workshops
Hanwen Liu, Mihail Stoian, Alexander van Renen, Andreas Kipf
2024 J jnl
Corra: Correlation-Aware Column Compression.
CoRR
Hanwen Liu, Mihail Stoian, Alexander van Renen, Andreas Kipf
2024 J jnl
DPconv: Super-Polynomially Faster Join Ordering.
CoRR
Mihail Stoian, Andreas Kipf
2024 J jnl
DPconv: Super-Polynomially Faster Join Ordering.
Proc. ACM Manag. Data
Mihail Stoian, Andreas Kipf
2024 J jnl
DataLoom: Simplifying Data Loading with LLMs.
Proc. VLDB Endow.
Alexander van Renen, Mihail Stoian, Andreas Kipf
2024 J jnl
Did Fourier Really Meet Möbius? Fast Subset Convolution via FFT.
CoRR
Mihail Stoian
2024 J jnl
Group Privacy Amplification and Unified Amplification by Subsampling for Rényi Differential Privacy.
CoRR
Jan Schuchardt, Mihail Stoian, Arthur Kosmala, Stephan Günnemann
2024 J jnl
Lightweight Correlation-Aware Table Compression.
CoRR
Mihail Stoian, Alexander van Renen, Jan Kobiolka, Ping-Lin Kuo, Josif Grabocka, Andreas Kipf
2024 J jnl
On the Optimal Linear Contraction Order of Tree Tensor Networks, and Beyond.
SIAM J. Sci. Comput.
Mihail Stoian, Richard M. Milbradt, Christian B. Mendl
2024 J jnl
Sinking an Algorithmic Isthmus: (1 + {\epsilon})-Approximate Min-Sum Subset Convolution.
CoRR
Mihail Stoian
2024 J jnl
TSP Escapes the O(2
CoRR
Mihail Stoian
2024 A* conf
Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification.
NeurIPS
Jan Schuchardt, Mihail Stoian, Arthur Kosmala, Stephan Günnemann
2023 — conf
Fast Joint Shapley Values.
SIGMOD Conference Companion
Mihail Stoian
2023 — conf
Faster FFT-based Wildcard Pattern Matching.
SIGMOD Conference Companion
Mihail Stoian
2022 — conf
Concurrent Link-Cut Trees.
SIGMOD Conference
Mihail Stoian
2022 J jnl
On the Optimal Linear Contraction Order for Tree Tensor Networks.
CoRR
Mihail Stoian
2021 J jnl
PLEX: Towards Practical Learned Indexing.
CoRR
Mihail Stoian, Andreas Kipf, Ryan Marcus, Tim Kraska
2020 J jnl
Benchmarking Learned Indexes.
CoRR
Ryan Marcus, Andreas Kipf, Alexander van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, Tim Kraska
2020 J jnl
Benchmarking Learned Indexes.
Proc. VLDB Endow.
Ryan Marcus, Andreas Kipf, Alexander van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, Tim Kraska
2020 J jnl
RadixSpline: A Single-Pass Learned Index.
CoRR
Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann
2020 — conf
RadixSpline: a single-pass learned index.
aiDM@SIGMOD
Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann
2019 J jnl
SOSD: A Benchmark for Learned Indexes.
CoRR
Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann