Samulowitz, Horst

30 publications

TMLR 2025 Language Models Are Good Tabular Learners Zhenhan Huang, Kavitha Srinivas, Horst Samulowitz, Niharika S. D'Souza, Charu C. Aggarwal, Pin-Yu Chen, Jianxi Gao

TMLR 2025 On Learning Representations for Tabular Data Distillation Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz, Oshani Seneviratne

TMLR 2025 On the Utility of Existing Fine-Tuned Models on Data-Scarce Domains Md Ibrahim Ibne Alam, Parikshit Ram, Soham Dan, Horst Samulowitz, Koushik Kar

AAAI 2024 Effective Data Distillation for Tabular Datasets (Student Abstract) Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz, Oshani Seneviratne

AISTATS 2024 Enhancing In-Context Learning via Linear Probe Calibration Momin Abbas, Yi Zhou, Parikshit Ram, Nathalie Baracaldo, Horst Samulowitz, Theodoros Salonidis, Tianyi Chen

IJCAI 2024 Instance-Level Metalearning for Outlier Detection Long Vu, Peter Kirchner, Charu C. Aggarwal, Horst Samulowitz

NeurIPSW 2024 TabSketchFM: Sketch-Based Tabular Representation Learning for Data Discovery over Data Lakes Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas

UAI 2023 FLASH: Automating Federated Learning Using CASH Md I. I. Alam, Koushik Kar, Theodoros Salonidis, Horst Samulowitz

IJCAI 2023 SemFORMS: Automatic Generation of Semantic Transforms by Mining Data Science Code Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas

ICLR 2023 Single-Shot General Hyper-Parameter Optimization for Federated Learning Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig

NeurIPSW 2022 DASH: Decentralized CASH for Federated Learning Md Ibrahim Ibne Alam, Koushik Kar, Theodoros Salonidis, Horst Samulowitz

AAAI 2022 Semantic Feature Discovery with Code Mining and Semantic Type Detection Kavitha Srinivas, Takaaki Tateishi, Daniel Karl I. Weidele, Udayan Khurana, Horst Samulowitz, Toshihiro Takahashi, Dakuo Wang, Lisa Amini

AAAI 2021 AutoText: An End-to-End AutoAI Framework for Text Arunima Chaudhary, Alayt Issak, Kiran Kate, Yannis Katsis, Abel N. Valente, Dakuo Wang, Alexandre V. Evfimievski, Sairam Gurajada, Ban Kawas, A. Cristiano I. Malossi, Lucian Popa, Tejaswini Pedapati, Horst Samulowitz, Martin Wistuba, Yunyao Li

ICMLW 2021 Leveraging Theoretical Tradeoffs in Hyperparameter Selection for Improved Empirical Performance Parikshit Ram, Alexander G. Gray, Horst Samulowitz

AAAI 2020 An ADMM Based Framework for AutoML Pipeline Configuration Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Dakuo Wang, Andrew Conn, Alexander G. Gray

AAAI 2019 Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection Silvan Sievers, Michael Katz, Shirin Sohrabi, Horst Samulowitz, Patrick Ferber

IJCAI 2019 Optimal Exploitation of Clustering and History Information in Multi-Armed Bandit Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba

ICMLW 2019 Optimal Exploitation of Clustering and History Information in Multi-Armed Bandit Problem Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba

AAAI 2018 Dataset Evolver: An Interactive Feature Engineering Notebook Fatemeh Nargesian, Udayan Khurana, Tejaswini Pedapati, Horst Samulowitz, Deepak S. Turaga

AAAI 2018 Feature Engineering for Predictive Modeling Using Reinforcement Learning Udayan Khurana, Horst Samulowitz, Deepak S. Turaga

IJCAI 2017 Learning Feature Engineering for Classification Fatemeh Nargesian, Horst Samulowitz, Udayan Khurana, Elias B. Khalil, Deepak S. Turaga

AAAI 2016 Deep Learning for Algorithm Portfolios Andrea Loreggia, Yuri Malitsky, Horst Samulowitz, Vijay A. Saraswat

AAAI 2016 Selecting Near-Optimal Learners via Incremental Data Allocation Ashish Sabharwal, Horst Samulowitz, Gerald Tesauro

IJCAI 2015 Model-Based Genetic Algorithms for Algorithm Configuration Carlos Ansótegui, Yuri Malitsky, Horst Samulowitz, Meinolf Sellmann, Kevin Tierney

AAAI 2015 Towards Cognitive Automation of Data Science Alain Biem, Maria Butrico, Mark Feblowitz, Tim Klinger, Yuri Malitsky, Kenney Ng, Adam Perer, Chandra Reddy, Anton Riabov, Horst Samulowitz, Daby M. Sow, Gerald Tesauro, Deepak S. Turaga

IJCAI 2013 Algorithm Portfolios Based on Cost-Sensitive Hierarchical Clustering Yuri Malitsky, Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann

AAAI 2013 Resolution and Parallelizability: Barriers to the Efficient Parallelization of SAT Solvers George Katsirelos, Ashish Sabharwal, Horst Samulowitz, Laurent Simon

AAAI 2010 Collaborative Expert Portfolio Management David H. Stern, Horst Samulowitz, Ralf Herbrich, Thore Graepel, Luca Pulina, Armando Tacchella

IJCAI 2009 Experiments with Massively Parallel Constraint Solving Lucas Bordeaux, Youssef Hamadi, Horst Samulowitz

AAAI 2007 Learning to Solve QBF Horst Samulowitz, Roland Memisevic