Optimization

Unleashing the Power of Gradient Signal-to-Noise Ratio for Zero-Shot NAS ICCV 2023 Unlocking Deterministic Robustness Certification on ImageNet NeurIPS 2023 Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization NeurIPS 2023 Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask? ICLR 2023 UnSE: Unsupervised Speech Enhancement Using Optimal Transport Interspeech 2023 Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction NeurIPS 2023 Updating Clinical Risk Stratification Models Using Rank-Based Compatibility: Approaches for Evaluating and Optimizing Clinician-Model Team Performance MLHC 2023 Use perturbations when learning from explanations NeurIPS 2023 User-level Private Stochastic Convex Optimization with Optimal Rates ICML 2023 Userspace Bypass: Accelerating Syscall-intensive Applications OSDI 2023 Utilitarian Algorithm Configuration NeurIPS 2023 Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning AAAI 2023 Variance-Reduced Conservative Policy Iteration ALT 2023 Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies NeurIPS 2023 Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory ACML 2023 Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top ICLR 2023 Very Fast, Approximate Counterfactual Explanations for Decision Forests AAAI 2023 Video Compression With Entropy-Constrained Neural Representations CVPR 2023 Volume Feature Rendering for Fast Neural Radiance Field Reconstruction NeurIPS 2023 Volumetric Optimal Transportation by Fast Fourier Transform ICLR 2023 Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks ICML 2023 Wasserstein Distributional Learning via Majorization-Minimization AISTATS 2023 Wasserstein Distributionally Robust Linear-Quadratic Estimation under Martingale Constraints AISTATS 2023 Wasserstein distributional robustness of neural networks NeurIPS 2023 Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies NeurIPS 2023