Adaptive Lipschitz-Free Proximal Gradient Methods for Stochastic Composite Nonconvex Optimization

arXiv:2502.21099 · math.OC, cs.CV, cs.NA, math.NA · Submitted 2025-02-28 · Read on arXiv

math.OC, cs.CV, cs.NA, math.NA

Submitted: 2025-02-28

Updated: 2026-09-26

Terminology

Regularization — 8× in this paper · explained in 3 episodes
Adaptive Extrapolated Proximal Gradient — 6× in this paper
In International Conference on Learning Representations — 5× in this paper
Under the Kurdyka-Lojasiewicz — 5× in this paper
Adam — 4× in this paper · explained in 2 episodes
In International Conference on Machine Learning — 4× in this paper
Sparsity — 4× in this paper · explained in 4 episodes
Adaptation — 2× in this paper · explained in 1 episode
Adaptivity — 2× in this paper · explained in 1 episode
Robustness — 2× in this paper · explained in 5 episodes
Accuracy — 1× in this paper · explained in 1 episode
Alternating Minimization — 1× in this paper · explained in 1 episode
Convergence Guarantees — 1× in this paper · explained in 3 episodes
Core — 1× in this paper · explained in 2 episodes
Generalization — 1× in this paper · explained in 13 episodes
Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
Quantization — 1× in this paper · explained in 12 episodes
Stiefel manifold — 1× in this paper · explained in 2 episodes
Theoretical Guarantees — 1× in this paper · explained in 2 episodes
Trace — 1× in this paper · explained in 2 episodes
Unified Framework — 1× in this paper · explained in 5 episodes

Sources

AdaBB: Adaptive Barzilai-Borwein Method for Convex Optimization

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