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On the Divergence of Decentralized Nonconvex Optimization.

, , , and . SIAM J. Optim., 32 (4): 2879-2908 (December 2022)

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A new In-network data aggregation technology of wireless sensor networks., , and . SKG, page 104. IEEE Computer Society, (2006)ProfLLM: A framework for adapting offline large language models to few-shot expert knowledge., , , , , and . ICAICE, page 708-714. ACM, (2023)A Bayesian Approach to Robust Inverse Reinforcement Learning., , , , , and . CoRL, volume 229 of Proceedings of Machine Learning Research, page 2304-2322. PMLR, (2023)On the Divergence of Decentralized Nonconvex Optimization., , , and . SIAM J. Optim., 32 (4): 2879-2908 (December 2022)Joint Demonstration and Preference Learning Improves Policy Alignment with Human Feedback., , , , , , and . CoRR, (2024)Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment., , , , , and . CoRR, (2024)A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization., , , , , and . CoRR, (2021)Understanding Expertise through Demonstrations: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning., , , and . CoRR, (2023)When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning., , , and . NeurIPS, (2023)Multi-Agent Reinforcement Learning for Adaptive Routing: A Hybrid Method using Eligibility Traces., , and . ICCA, page 1332-1339. IEEE, (2020)