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cs.LG2026
Convergence of Steepest Descent and Adam under Non-Uniform Smoothness
Sharan Vaswani, Yifan Sun, Reza Babanezhad
Recent work has analyzed the convergence of first-order methods under non-uniform smoothness assumptions that better model the loss landscape in machine learning tasks. We generali…
cs.LG2026
Towards Parameter-Free Temporal Difference Learning
Yunxiang Li, Mark Schmidt, Reza Babanezhad +1
Temporal difference (TD) learning is a fundamental algorithm for estimating value functions in reinforcement learning. Recent finite-time analyses of TD with linear function approx…