Mathematics & Optimization

Minimum Robust Multi-Submodular Cover for Fairness AAAI 2021 Mining EL Bases with Adaptable Role Depth AAAI 2021 Mirror Descent and the Information Ratio COLT 2021 Mirror Descent View for Neural Network Quantization AISTATS 2021 Mirror Langevin Monte Carlo: the Case Under Isoperimetry NeurIPS 2021 Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent AISTATS 2021 Misspecified Gaussian Process Bandit Optimization NeurIPS 2021 Mixability made efficient: Fast online multiclass logistic regression NeurIPS 2021 Mixed-Features Vectors and Subspace Splitting ICLR 2021 Mixed variable Bayesian optimization with frequency modulated kernels UAI 2021 Mixing Time of Metropolis-Hastings for Bayesian Community Detection JMLR 2021 Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals JMLR 2021 Modality-Agnostic Topology Aware Localization NeurIPS 2021 Modeling Precomputation In Games Played Under Computational Constraints IJCAI 2021 Modelling Behavioural Diversity for Learning in Open-Ended Games ICML 2021 Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation AAAI 2021 Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions JMLR 2021 Modified Frank Wolfe in Probability Space NeurIPS 2021 Momentum Improves Optimization on Riemannian Manifolds AISTATS 2021 MongeNet: Efficient Sampler for Geometric Deep Learning CVPR 2021 Moreau-Yosida f-divergences ICML 2021 More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method ICML 2021 Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices NeurIPS 2021 Most: multi-source domain adaptation via optimal transport for student-teacher learning UAI 2021 Multi-Agent Reinforcement Learning for Automated Peer-to-Peer Energy Trading in Double-Side Auction Market IJCAI 2021