Optimization

Chefs' Random Tables: Non-Trigonometric Random Features NeurIPS 2022 Closed-Form Diffeomorphic Transformations for Time Series Alignment ICML 2022 Combining Compressions for Multiplicative Size Scaling on Natural Language Tasks COLING 2022 Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization AISTATS 2022 Communication-efficient Distributed Learning for Large Batch Optimization ICML 2022 Computing Wasserstein-p Distance Between Images With Linear Cost CVPR 2022 Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization EMNLP 2022 Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness ICML 2022 Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training AAAI 2022 Deep AutoAugment ICLR 2022 Deep Generalized Unfolding Networks for Image Restoration CVPR 2022 Deep Network Approximation in Terms of Intrinsic Parameters ICML 2022 Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization ICML 2022 Detached Error Feedback for Distributed SGD with Random Sparsification ICML 2022 Differentiable Analog Quantum Computing for Optimization and Control NeurIPS 2022 Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization ICML 2022 DiPS: Differentiable Policy for Sketching in Recommender Systems AAAI 2022 DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems AAAI 2022 Distributed Online Convex Optimization with Compressed Communication NeurIPS 2022 Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima JMLR 2022 Distribution Consistent Neural Architecture Search CVPR 2022 DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks ICML 2022 Dropout as a Regularizer of Interaction Effects AISTATS 2022 Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs NAACL 2022 EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization NeurIPS 2022