conftrace_

gradient-free method

10 papers

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non-convex optimization (4) stochastic optimization (4) iteration complexity (2) variance reduction (2) constrained optimization (2) variational inference (2) stochastic gradient (2) kernel methods (1) activation space (1) forward pass (1)

Papers

AdaBet: Gradient-free Layer Selection for Efficient Training of Deep Neural Networks CVPR 2026 Constrained Particle Seeking: Solving Diffusion Inverse Problems with Just Forward Passes AAAI 2026 Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization AAAI 2024 Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization NeurIPS 2024 ReGAL: Refactoring Programs to Discover Generalizable Abstractions ICML 2024 Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization ICML 2023 Faster Gradient-Free Methods for Escaping Saddle Points ICLR 2023 Gradient-Free Kernel Stein Discrepancy NeurIPS 2023 Gradient-Free Method for Heavily Constrained Nonconvex Optimization ICML 2022 A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models AISTATS 2021