conftrace_

convex objective

7 papers

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Co-occurring keywords · papers mentioning both

convex optimization (4) gradient descent (2) stochastic gradient descent (2) cumulative constraint violation (1) armijo line search (1) accelerated proximal point algorithm (1) step-sizes (1) non-smooth loss (1) weighted sampling (1) interpretable deep learning (1)

Papers

Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster ICML 2025 Gaussian Process Neural Additive Models AAAI 2024 Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent ICML 2020 ASVRG: Accelerated Proximal SVRG ACML 2018 Online convex optimization for cumulative constraints NeurIPS 2018 A Universal Catalyst for First-Order Optimization NeurIPS 2015 Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm NeurIPS 2014