Wu, Changlong

12 publications

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

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

ICML 2024 A Theory of Fault-Tolerant Learning Changlong Wu, Yifan Wang, 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

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

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

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

AISTATS 2021 Prediction with Finitely Many Errors Almost Surely Changlong Wu, Narayana Santhanam

ALT 2021 Non-Uniform Consistency of Online Learning with Random Sampling Changlong Wu, Narayana Santhanam