Quantile Bandits for Best Arms Identification
Comments Proceedings of the 38th International Conference on Machine Learning, 2021; Post-publication update in Appendix E
期刊&会议
ICML
International Conference on Machine Learning · 会议 · Machine Learning
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound
Comments 39pages, 8 figures
Journal ref Proceedings of the 39th International Conference on Machine Learning, PMLR 162:20960-20986, 2022
Average-case Acceleration Through Spectral Density Estimation
Journal ref Proceedings of the 37th International Conference on Machine Learning, PMLR 119, 2020
Conformal prediction for time series
Comments Journal version, under review. A preliminary conference version was accepted as a long talk/oral (3% of total 5513 submissions) in the Proceedings of the 38th International Conference on Machine Learning, PMLR 139, 2021 (ICML 2021). The title is "Conformal prediction interval for dynamic time-series"
Special Properties of Gradient Descent with Large Learning Rates
Comments A short version of this work appeared in ICML 22 ICML Workshop on Continuous Time Methods for Machine Learning under the title "The Gap Between Continuous and Discrete Gradient Descent"
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
Comments International Conference on Machine Learning 2022
Deep Probability Estimation
Comments SL, AK, WZ, ML, SM contributed equally to this work; 36 pages, 17 figures, 12 tables
Journal ref Proceedings of the 39th International Conference on Machine Learning, PMLR 162:13746-13781, 2022
SE(3) Equivariant Graph Neural Networks with Complete Local Frames
Comments ICML 2022 accepted
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations
Comments 25 pages (including references and appendix), 10 figures. Submitted to ICML 2023
Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code
Comments The 21st IEEE International Conference on Machine Learning and Applications (ICMLA'22)
Low Complexity Adaptive Machine Learning Approaches for End-to-End Latency Prediction
Journal ref 5th International Conference on Machine Learning for Networking (MLN'2022), Nov 2022, Paris, France
Unifying Generative Models with GFlowNets and Beyond
Comments expanded version of the ICML 2022 workshop paper
Double Sampling Randomized Smoothing
Comments ICML 2022; minor typos fixed; minor data corrected on Page 42 (no influence on conclusions)
Learning Robot Structure and Motion Embeddings using Graph Neural Networks
Comments 7 pages, 9 figures
Journal ref ICML 2022 Workshop on Machine Learning in Computational Design
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation
Comments This is an updated version of our ICML camera-ready version, which has a technical error in building the over-optimistic value function. In this version, this error is fixed using the technique of the "rare-switching" value function from (He et al., 2022)
Interactive Learning from Policy-Dependent Human Feedback
Comments 8 pages + references, 5 figures
Journal ref International Conference on Machine Learning. PMLR, 2017
Rethinking Assumptions in Deep Anomaly Detection
Comments 17 pages; accepted at the ICML 2021 Workshop on Uncertainty & Robustness in Deep Learning; An extended Journal paper of this work has been published in Transactions on Machine Learning Research: arXiv:2205.11474
Congested Bandits: Optimal Routing via Short-term Resets
Comments Published at ICML 2022
A Context-Integrated Transformer-Based Neural Network for Auction Design
Comments Accepted by ICML 2022. Code is available at https://github.com/zjduan/CITransNet
From Kepler to Newton: Explainable AI for Science
Comments Accepted by ICML-AI4Science 2022
Social Norm Bias: Residual Harms of Fairness-Aware Algorithms
Comments Spotlighted at the 2021 ICML Machine Learning for Data Workshop and presented at the 2021 ICML Socially Responsible Machine Learning Workshop
Spatio-Temporal Context Modeling for Road Obstacle Detection
Comments Paper accepted by the 4th International Conference on Machine Learning for Cyber Security (ML4CS 2022), Guangzhou, China
A Multi-Scale Framework for Out-of-Distribution Detection in Dermoscopic Images
Comments Paper accepted by the 4th International Conference on Machine Learning for Cyber Security (ML4CS 2022), Guangzhou, China
Robust Remote Sensing Scene Classification with Multi-View Voting and Entropy Ranking
Comments Paper accepted by the 4th International Conference on Machine Learning for Cyber Security (ML4CS 2022), Guangzhou, China
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality
Comments Accepted in part to ICML 2020
Journal ref IEEE Transactions on Information Theory, vol. 69, no. 1, pp. 407-452, Jan. 2023
Reducing Exploitability with Population Based Training
Comments Presented at New Frontiers in Adversarial Machine Learning Workshop, ICML 2022
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization
Comments ICML 2022
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum
Comments ICML 2022
Goal Misgeneralization in Deep Reinforcement Learning
Comments Published in ICML 2022. 9 Pages
Score vs. Winrate in Score-Based Games: which Reward for Reinforcement Learning?
Comments Published at 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA). This version (v2) is a major revision and superseeds version v1
