Changlong Wu

35 papers A* 7A 5B 9Misc 2Journal 12
YearRankTypeTitle / Venue / Authors
2025 A* conf
No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models.
ICLR
Changlong Wu, Ananth Grama, Wojciech Szpankowski
2025 B conf
Online Learning with Nasty Experts.
ISIT
Nikolaos Papagiannis, Wojciech Szpankowski, Changlong Wu
2025 J jnl
Precise Regularized Minimax Regret With Unbounded Weights.
IEEE Trans. Inf. Theory
Michael Drmota, Philippe Jacquet, Changlong Wu, Wojciech Szpankowski
2024 A* conf
A Theory of Fault-Tolerant Learning.
ICML
Changlong Wu, Yifan Wang, Ananth Grama
2024 A* conf
Information-theoretic Limits of Online Classification with Noisy Labels.
NeurIPS
Changlong Wu, Ananth Grama, Wojciech Szpankowski
2024 B conf
Minimax Regret with Unbounded Weights.
ISIT
Michael Drmota, Philippe Jacquet, Changlong Wu, Wojciech Szpankowski
2024 J jnl
No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models.
CoRR
Changlong Wu, Ananth Grama, Wojciech Szpankowski
2024 A conf
OCRCL: Online Contrastive Learning for Root Cause Localization of Business Incidents.
SANER
Xiaosong Huang, Hongyi Liu, Yifan Wu, Yujin Zhao, Changlong Wu, Songlin Zhang, Ling Jiang, Tong Jia, Ying Li, Zhonghai Wu
2024 A conf
Online Distribution Learning with Local Privacy Constraints.
AISTATS
Jin Sima, Changlong Wu, Olgica Milenkovic, Wojciech Szpankowski
2024 J jnl
Online Distribution Learning with Local Private Constraints.
CoRR
Jin Sima, Changlong Wu, Olgica Milenkovic, Wojciech Szpankowski
2024 A* conf
Oracle-Efficient Hybrid Online Learning with Unknown Distribution.
COLT
Changlong Wu, Jin Sima, Wojciech Szpankowski
2024 J jnl
Oracle-Efficient Hybrid Online Learning with Unknown Distribution.
CoRR
Changlong Wu, Jin Sima, Wojciech Szpankowski
2023 J jnl
Expected Worst Case Regret via Stochastic Sequential Covering.
Trans. Mach. Learn. Res.
Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
2023 A conf
How to Manage Change-Induced Incidents? Lessons from the Study of Incident Life Cycle.
ISSRE
Yujin Zhao, Ling Jiang, Ye Tao, Songlin Zhang, Changlong Wu, Yifan Wu, Tong Jia, Ying Li, Zhonghai Wu
2023 A conf
Identifying Root-Cause Changes for User-Reported Incidents in Online Service Systems.
ISSRE
Yujin Zhao, Ling Jiang, Ye Tao, Songlin Zhang, Changlong Wu, Tong Jia, Xiaosong Huang, Ying Li, Zhonghai Wu
2023 A* conf
Learning Functional Distributions with Private Labels.
ICML
Changlong Wu, Yifan Wang, Ananth Grama, Wojciech Szpankowski
2023 A* conf
Online Learning in Dynamically Changing Environments.
COLT
Changlong Wu, Ananth Grama, Wojciech Szpankowski
2023 J jnl
Online Learning in Dynamically Changing Environments.
CoRR
Changlong Wu, Ananth Grama, Wojciech Szpankowski
2023 J jnl
Regret Bounds for Log-Loss via Bayesian Algorithms.
IEEE Trans. Inf. Theory
Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
2023 J jnl
Robust Online Classification: From Estimation to Denoising.
CoRR
Changlong Wu, Ananth Grama, Wojciech Szpankowski
2022 J jnl
Expected Worst Case Regret via Stochastic Sequential Covering.
CoRR
Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
2022 A* conf
Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm.
NeurIPS
Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
2022 J jnl
Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm.
CoRR
Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
2022 B conf
Sequential vs. Fixed Design Regrets in Online Learning.
ISIT
Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
2021 B conf
Estimating Properties of Dynamic Graphical Models.
ISIT
Changlong Wu, Narayana Santhanam
2021 B conf
Non-uniform Consistency of Online Learning with Random Sampling.
ALT
Changlong Wu, Narayana Santhanam
2021 A conf
Prediction with Finitely many Errors Almost Surely.
AISTATS
Changlong Wu, Narayana Santhanam
2020 Misc conf
Almost Uniform Sampling From Neural Networks.
CISS
Changlong Wu, Narayana Prasad Santhanam
2020 B conf
Entropy property testing with finitely many errors.
ISIT
Changlong Wu, Narayana Santhanam
2019 J jnl
Almost Uniform Sampling From Neural Networks.
CoRR
Changlong Wu, Narayana Prasad Santhanam
2019 B conf
Being correct eventually almost surely.
ISIT
Changlong Wu, Narayana Santhanam
2018 Misc conf
Greedy Algorithm with Approximation Ratio for Sampling Noisy Graph Signals.
ICASSP
Changlong Wu, Wenxin Chen, June Zhang
2018 B conf
Redundancy of Unbounded Memory Markov Classes with Continuity Conditions.
ISIT
Changlong Wu, Maryam Hosseini, Narayana Santhanam
2018 J jnl
Redundancy of unbounded memory Markov classes with continuity conditions.
CoRR
Changlong Wu, Maryam Hosseini, Narayana Santhanam
2017 B conf
Jackknife estimation for Markov processes with no mixing constraints.
ISIT
Kevin Oshiro, Changlong Wu, Narayana P. Santhanam