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Optimization

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Papers

A Fast Optimistic Method for Monotone Variational Inequalities ICML 2023 A Fully First-Order Method for Stochastic Bilevel Optimization ICML 2023 AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix NeurIPS 2023 A General Regret Bound of Preconditioned Gradient Method for DNN Training CVPR 2023 A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates JMLR 2023 A Generation-based Deductive Method for Math Word Problems EMNLP 2023 A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming ICLR 2023 Agnostic Learning of General ReLU Activation Using Gradient Descent ICLR 2023 A Gradient Control Method for Backdoor Attacks on Parameter-Efficient Tuning ACL 2023 A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening ICML 2023 A Guide Through the Zoo of Biased SGD NeurIPS 2023 A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond ICLR 2023 AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes AAAI 2023 A Hyperparameter Optimization Toolkit for Neural Machine Translation Research ACL 2023 AI and Decision Support for Sustainable Socio-Ecosystems IJCAI 2023 AI for Equitable, Data-Driven Decisions in Public Health AAAI 2023 Air-Decoding: Attribute Distribution Reconstruction for Decoding-Time Controllable Text Generation EMNLP 2023 A Large-Scale Homography Benchmark CVPR 2023 A Learnable Radial Basis Positional Embedding for Coordinate-MLPs AAAI 2023 A Learning and Control Perspective for Microfinance L4DC 2023 Algorithm for Constrained Markov Decision Process with Linear Convergence AISTATS 2023 Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing NeurIPS 2023 Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions ICML 2023 Aligning Language Models with Preferences through f-divergence Minimization ICML 2023 Aligning Large Language Models through Synthetic Feedback EMNLP 2023