Szpankowski, Wojciech

19 publications

NeurIPS 2025 Agnostic Continuous-Time Online Learning Pramith Devulapalli, Changlong Wu, Ananth Grama, Wojciech Szpankowski

NeurIPS 2025 Hadamard Test Is Sufficient for Efficient Quantum Gradient Estimation with Lie Algebraic Symmetries Mohsen Heidari, Masih Mozakka, Wojciech Szpankowski

ICLR 2025 No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models Changlong Wu, Ananth Grama, Wojciech Szpankowski

NeurIPS 2025 Robust Integrated Learning and Pauli Noise Mitigation for Parametrized Quantum Circuits Md Mobasshir Arshed Naved, Wenbo Xie, Wojciech Szpankowski, Ananth Grama

NeurIPS 2024 Information-Theoretic Limits of Online Classification with Noisy Labels Changlong Wu, Ananth Grama, Wojciech Szpankowski

AISTATS 2024 Online Distribution Learning with Local Privacy Constraints Jin Sima, Changlong Wu, Olgica Milenkovic, Wojciech Szpankowski

COLT 2024 Oracle-Efficient Hybrid Online Learning with Unknown Distribution Changlong Wu, Jin Sima, Wojciech Szpankowski

AISTATS 2023 Agnostic PAC Learning of $k$-Juntas Using $l_2$-Polynomial Regression Mohsen Heidari, Wojciech Szpankowski

TMLR 2023 Expected Worst Case Regret via Stochastic Sequential Covering Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski

ICML 2023 Learning Functional Distributions with Private Labels Changlong Wu, Yifan Wang, Ananth Grama, Wojciech Szpankowski

AISTATS 2023 Learning K-Qubit Quantum Operators via Pauli Decomposition Mohsen Heidari, Wojciech Szpankowski

COLT 2023 Online Learning in Dynamically Changing Environments Changlong Wu, Ananth Grama, Wojciech Szpankowski

AISTATS 2022 Statistical and Computational Thresholds for the Planted K-Densest Sub-Hypergraph Problem Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim Buhmann

JMLR 2022 Data-Derived Weak Universal Consistency Narayana Santhanam, Venkatachalam Anantharam, Wojciech Szpankowski

NeurIPS 2022 Precise Regret Bounds for Log-Loss via a Truncated Bayesian Algorithm Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski

AAAI 2022 Toward Physically Realizable Quantum Neural Networks Mohsen Heidari, Ananth Grama, Wojciech Szpankowski

ICML 2021 Finding Relevant Information via a Discrete Fourier Expansion Mohsen Heidari, Jithin Sreedharan, Gil I Shamir, Wojciech Szpankowski

ALT 2021 Precise Minimax Regret for Logistic Regression with Categorical Feature Values Philippe Jacquet, Gil Shamir, Wojciech Szpankowski

ALT 2020 Toward Universal Testing of Dynamic Network Models Abram Magner, Wojciech Szpankowski