Changlong Wu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 28

Top Topics

Approximation Ratio

Top Venues

Publications

Changlong Wu, Jin Sima, Wojciech Szpankowski
Oracle-Efficient Hybrid Online Learning with Unknown Distribution. COLT (2024)
Jin Sima, Changlong Wu, Olgica Milenkovic, Wojciech Szpankowski
Online Distribution Learning with Local Privacy Constraints. AISTATS (2024)
Jin Sima, Changlong Wu, Olgica Milenkovic, Wojciech Szpankowski
Online Distribution Learning with Local Private Constraints. CoRR (2024)
Changlong Wu, Jin Sima, Wojciech Szpankowski
Oracle-Efficient Hybrid Online Learning with Unknown Distribution. CoRR (2024)
Xiaosong Huang, Hongyi Liu, Yifan Wu, Yujin Zhao, Changlong Wu, Songlin Zhang, Ling Jiang, Tong Jia, Ying Li, Zhonghai Wu
OCRCL: Online Contrastive Learning for Root Cause Localization of Business Incidents. SANER (2024)
Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
Regret Bounds for Log-Loss via Bayesian Algorithms. IEEE Trans. Inf. Theory 69 (9) (2023)
Changlong Wu, Ananth Grama, Wojciech Szpankowski
Online Learning in Dynamically Changing Environments. COLT (2023)
Changlong Wu, Ananth Grama, Wojciech Szpankowski
Robust Online Classification: From Estimation to Denoising. CoRR (2023)
Yujin Zhao, Ling Jiang, Ye Tao, Songlin Zhang, Changlong Wu, Tong Jia, Xiaosong Huang, Ying Li, Zhonghai Wu
Identifying Root-Cause Changes for User-Reported Incidents in Online Service Systems. ISSRE (2023)
Yujin Zhao, Ling Jiang, Ye Tao, Songlin Zhang, Changlong Wu, Yifan Wu, Tong Jia, Ying Li, Zhonghai Wu
How to Manage Change-Induced Incidents? Lessons from the Study of Incident Life Cycle. ISSRE (2023)
Changlong Wu, Yifan Wang, Ananth Grama, Wojciech Szpankowski
Learning Functional Distributions with Private Labels. ICML (2023)
Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
Expected Worst Case Regret via Stochastic Sequential Covering. Trans. Mach. Learn. Res. 2023 (2023)
Changlong Wu, Ananth Grama, Wojciech Szpankowski
Online Learning in Dynamically Changing Environments. CoRR (2023)
Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm. NeurIPS (2022)
Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
Sequential vs. Fixed Design Regrets in Online Learning. ISIT (2022)
Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm. CoRR (2022)
Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
Expected Worst Case Regret via Stochastic Sequential Covering. CoRR (2022)
Changlong Wu, Narayana Santhanam
Estimating Properties of Dynamic Graphical Models. ISIT (2021)
Changlong Wu, Narayana Santhanam
Non-uniform Consistency of Online Learning with Random Sampling. ALT (2021)
Changlong Wu, Narayana Santhanam
Prediction with Finitely many Errors Almost Surely. AISTATS (2021)
Changlong Wu, Narayana Prasad Santhanam
Almost Uniform Sampling From Neural Networks. CISS (2020)
Changlong Wu, Narayana Santhanam
Entropy property testing with finitely many errors. ISIT (2020)
Changlong Wu, Narayana Prasad Santhanam
Almost Uniform Sampling From Neural Networks. CoRR (2019)
Changlong Wu, Narayana Santhanam
Being correct eventually almost surely. ISIT (2019)
Changlong Wu, Wenxin Chen, June Zhang
Greedy Algorithm with Approximation Ratio for Sampling Noisy Graph Signals. ICASSP (2018)
Changlong Wu, Maryam Hosseini, Narayana Santhanam
Redundancy of Unbounded Memory Markov Classes with Continuity Conditions. ISIT (2018)
Changlong Wu, Maryam Hosseini, Narayana Santhanam
Redundancy of unbounded memory Markov classes with continuity conditions. CoRR (2018)
Kevin Oshiro, Changlong Wu, Narayana P. Santhanam
Jackknife estimation for Markov processes with no mixing constraints. ISIT (2017)