Optimization

Mirror Descent and the Information Ratio COLT 2021 Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization EMNLP 2021 Mixed variable Bayesian optimization with frequency modulated kernels UAI 2021 Mixture weights optimisation for Alpha-Divergence Variational Inference NeurIPS 2021 MLE-Guided Parameter Search for Task Loss Minimization in Neural Sequence Modeling AAAI 2021 MMIM: An Interpretable Regularization Method for Neural Networks (Student Abstract) AAAI 2021 Model-Agnostic Fast Adaptive Multi-Objective Balancing Algorithm for Multilingual Automatic Speech Recognition Model Training Interspeech 2021 Model-Based Domain Generalization NeurIPS 2021 Modeling Document-Level Context for Event Detection via Important Context Selection EMNLP 2021 Modeling Expert Knowledge in a Heuristic-Based Gin Rummy Agent AAAI 2021 Modeling Human Helpfulness with Individual and Contextual Factors for Robot Planning RSS 2021 Modeling the Second Player in Distributionally Robust Optimization ICLR 2021 Model Linkage Selection for Cooperative Learning JMLR 2021 Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings MLHC 2021 Model-Targeted Poisoning Attacks with Provable Convergence ICML 2021 Modified Frank Wolfe in Probability Space NeurIPS 2021 Molecule Optimization by Explainable Evolution ICLR 2021 Momentum Centering and Asynchronous Update for Adaptive Gradient Methods NeurIPS 2021 Momentum Improves Optimization on Riemannian Manifolds AISTATS 2021 Monotonic Kronecker-Factored Lattice ICLR 2021 Monte Carlo Scene Search for 3D Scene Understanding CVPR 2021 MonteFloor: Extending MCTS for Reconstructing Accurate Large-Scale Floor Plans ICCV 2021 Moreau-Yosida f-divergences ICML 2021 Moser Flow: Divergence-based Generative Modeling on Manifolds NeurIPS 2021 Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices NeurIPS 2021