Peizhong Ju

CoRR, May, 2026

Provable Last-Iterate Convergence for Multi-Objective Safe LLM Alignment via Optimistic Primal-Dual.

[BibT_eX]

[DOI]

Yining Li

CoRR, February, 2026

Flow Matching for Offline Reinforcement Learning with Discrete Actions.

[BibT_eX]

[DOI]

CoRR, February, 2026

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution.

[BibT_eX]

[DOI]

Muhammad Umair Haider

Trans. Mach. Learn. Res., 2026

An LP-based Sampling Policy for Multi-Armed Bandits with Side-Observations and Stochastic Availability.

[BibT_eX]

[DOI]

Proceedings of the 24th International Symposium on Modeling and Optimization in Mobile, 2026

Priority-Aware Encoding for Bandwidth-Efficient Real-Time Classification in 5G Networks.

[BibT_eX]

[DOI]

Proceedings of the 24th International Symposium on Modeling and Optimization in Mobile, 2026

Evaluating Sparse Autoencoders for Monosemantic Representation.

[BibT_eX]

[DOI]

Moghis Fereidouni

Muhammad Umair Haider

A. B. Siddique

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

Optimal Parallel Scheduling under Concave Speedup Functions.

[BibT_eX]

[DOI]

CoRR, September, 2025

BeST - A Novel Source Selection Metric for Transfer Learning.

[BibT_eX]

[DOI]

CoRR, January, 2025

Two Levels Are All You Need: Simplifying Data Compression for Timely Edge Classification.

[BibT_eX]

[DOI]

Proceedings of the Twenty-sixth International Symposium on Theory, 2025

FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation.

[BibT_eX]

[DOI]

Elizabeth Serena Bentley

Jia Liu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

How to Find the Exact Pareto Front for Multi-Objective MDPs?

[BibT_eX]

[DOI]

Yining Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Non-asymptotic Convergence of Discrete-time Diffusion Models: New Approach and Improved Rate.

[BibT_eX]

[DOI]

CoRR, 2024

AI-EDGE: An NSF AI institute for future edge networks and distributed intelligence.

[BibT_eX]

[DOI]

AI Mag., 2024

Efficient Multi-dimensional Compression for Network-edge Classification.

[BibT_eX]

[DOI]

Proceedings of the Twenty-fifth International Symposium on Theory, 2024

Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning?

[BibT_eX]

[DOI]

Proceedings of the Twenty-fifth International Symposium on Theory, 2024

Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping.

[BibT_eX]

[DOI]

Yining Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning.

[BibT_eX]

[DOI]

Arnob Ghosh

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes.

[BibT_eX]

[DOI]

CoRR, 2023

Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning.

[BibT_eX]

[DOI]

Arnob Ghosh

CoRR, 2023

Theory on Forgetting and Generalization of Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning.

[BibT_eX]

[DOI]

Yingbin Liang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

On the Generalization Power of the Overfitted Three-Layer Neural Tangent Kernel Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distribution-level markets under high renewable energy penetration.

[BibT_eX]

[DOI]

Jianwei Huang

Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

Understanding the Generalization Power of Overfitted NTK Models: 3-layer vs. 2-layer (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021

On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Overfitting Can Be Harmless for Basis Pursuit: Only to a Degree.

[BibT_eX]

[DOI]

Jia Liu

CoRR, 2020

Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree.

[BibT_eX]

[DOI]

Jia Liu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Achievable-Rate-Enhancing Self-Interference Cancellation for Full-Duplex Communications.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2018

Adversarial Attacks to Distributed Voltage Control in Power Distribution Networks with DERs.

[BibT_eX]

[DOI]