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Optimization

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Papers

Deterministic Mini-batch Sequencing for Training Deep Neural Networks AAAI 2021 Device-Based LTE Latency Reduction at the Application Layer NSDI 2021 Differentiable Causal Discovery Under Unmeasured Confounding AISTATS 2021 Differentiable Diffusion for Dense Depth Estimation From Multi-View Images CVPR 2021 Differentiable Fluids with Solid Coupling for Learning and Control AAAI 2021 Differentiable Greedy Algorithm for Monotone Submodular Maximization: Guarantees, Gradient Estimators, and Applications AISTATS 2021 Differentiable Learning Under Triage NeurIPS 2021 Differentiable Multiple Shooting Layers NeurIPS 2021 Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs NeurIPS 2021 Differentiable Particle Filtering via Entropy-Regularized Optimal Transport ICML 2021 Differentiable rendering with perturbed optimizers NeurIPS 2021 Differentiable Spatial Planning using Transformers ICML 2021 Differentiable Spline Approximations NeurIPS 2021 Differentiable Synthesis of Program Architectures NeurIPS 2021 Differentiable Trust Region Layers for Deep Reinforcement Learning ICLR 2021 Differentially Private Correlation Alignment for Domain Adaptation IJCAI 2021 Differentially Private Query Release Through Adaptive Projection ICML 2021 Differentially Private Sliced Wasserstein Distance ICML 2021 Differentially Private Stochastic Coordinate Descent AAAI 2021 Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings NeurIPS 2021 Differentiating the Value Function by using Convex Duality AISTATS 2021 Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling NeurIPS 2021 Direct Differentiable Augmentation Search ICCV 2021 Direct Inference of Cell Positions using Lens-Free Microscopy and Deep Learning MIDL 2021 Direction is what you need: Improving Word Embedding Compression in Large Language Models ACL 2021