Optimization

Multi-armed Bandit Experimental Design: Online Decision-making and Adaptive Inference AISTATS 2023 Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking ACL 2023 Multicalibration as Boosting for Regression ICML 2023 Multi-Consensus Decentralized Accelerated Gradient Descent JMLR 2023 Multi-Dataset Co-Training with Sharpness-Aware Optimization for Audio Anti-spoofing Interspeech 2023 Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning ICML 2023 Multi-Fidelity Bayesian Optimization with Unreliable Information Sources AISTATS 2023 Multi-Fidelity Multi-Armed Bandits Revisited NeurIPS 2023 Multi-Objective Online Learning ICLR 2023 Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting IJCAI 2023 Multi-objective optimization via equivariant deep hypervolume approximation ICLR 2023 Multi-Objective Population Based Training ICML 2023 Multi-Realism Image Compression With a Conditional Generator CVPR 2023 Multisample Flow Matching: Straightening Flows with Minibatch Couplings ICML 2023 Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices JMLR 2023 Multi-Swap k-Means++ NeurIPS 2023 Multi-Task Learning via Time-Aware Neural ODE IJCAI 2023 Multi-view graph contrastive learning for solving vehicle routing problems UAI 2023 Multi-word Tokenization for Sequence Compression EMNLP 2023 MUter: Machine Unlearning on Adversarially Trained Models ICCV 2023 Mutual Information Regularized Offline Reinforcement Learning NeurIPS 2023 NCC: Natural Concurrency Control for Strictly Serializable Datastores by Avoiding the Timestamp-Inversion Pitfall OSDI 2023 Nearest Neighbor Guidance for Out-of-Distribution Detection ICCV 2023 Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer EMNLP 2023 Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes ICML 2023