Optimization

Stable Nonconvex-Nonconcave Training via Linear Interpolation NeurIPS 2023 Stable Target Field for Reduced Variance Score Estimation in Diffusion Models ICLR 2023 StegaNeRF: Embedding Invisible Information within Neural Radiance Fields ICCV 2023 Stochastic Approximation Algorithms for Systems of Interacting Particles NeurIPS 2023 Stochastic Approximation Approaches to Group Distributionally Robust Optimization NeurIPS 2023 Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning ACL 2023 Stochastic Causal Programming for Bounding Treatment Effects CLeaR 2023 Stochastic Differentially Private and Fair Learning ICLR 2023 Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods AISTATS 2023 Stochastic Gradient Descent under Markovian Sampling Schemes ICML 2023 Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels ICML 2023 Stochastic Mirror Descent for Large-Scale Sparse Recovery AISTATS 2023 Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths NeurIPS 2023 Stochastic Optimization for Spectral Risk Measures AISTATS 2023 Stochastic Optimization under Distributional Drift JMLR 2023 Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies ICML 2023 Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks ICML 2023 Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows NeurIPS 2023 Strip-MLP: Efficient Token Interaction for Vision MLP ICCV 2023 Structured Prediction with Stronger Consistency Guarantees NeurIPS 2023 Stubborn Lexical Bias in Data and Models ACL 2023 StyleGAN Salon: Multi-View Latent Optimization for Pose-Invariant Hairstyle Transfer CVPR 2023 SubMix: Learning to Mix Graph Sampling Heuristics UAI 2023 Submodular Order Functions and Assortment Optimization ICML 2023 Subword Segmental Machine Translation: Unifying Segmentation and Target Sentence Generation ACL 2023