Optimization

Differentiable Simulations for Enhanced Sampling of Rare Events ICML 2023 Differentiable sorting for censored time-to-event data. NeurIPS 2023 Differentiable Transportation Pruning ICCV 2023 Differentially Private Adaptive Optimization with Delayed Preconditioners ICLR 2023 Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards ICML 2023 Differentially Private Learning with Per-Sample Adaptive Clipping AAAI 2023 Differentially Private Sharpness-Aware Training ICML 2023 DiffRate : Differentiable Compression Rate for Efficient Vision Transformers ICCV 2023 Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability NeurIPS 2023 Diffusion Models Beat GANs on Topology Optimization AAAI 2023 Diffusion Models for Black-Box Optimization ICML 2023 Diffusion Schrödinger Bridge Matching NeurIPS 2023 Dimensionality Reduction and Wasserstein Stability for Kernel Regression JMLR 2023 Dimensionality Reduction for General KDE Mode Finding ICML 2023 Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting ACL 2023 Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing AAAI 2023 Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms NeurIPS 2023 Direct Parameterization of Lipschitz-Bounded Deep Networks ICML 2023 Direct Preference Optimization: Your Language Model is Secretly a Reward Model NeurIPS 2023 DiscoBAX: Discovery of optimal intervention sets in genomic experiment design ICML 2023 Discovering Evolution Strategies via Meta-Black-Box Optimization ICLR 2023 Discovering Many Diverse Solutions with Bayesian Optimization AISTATS 2023 Discrete Variational Calculus for Accelerated Optimization JMLR 2023 DISCS: A Benchmark for Discrete Sampling NeurIPS 2023 Disentangling the Mechanisms Behind Implicit Regularization in SGD ICLR 2023