Mathematics & Optimization

Learning with Fenchel-Young losses JMLR 2020 Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data IJCAI 2020 Learning with Operator-valued Kernels in Reproducing Kernel Krein Spaces NeurIPS 2020 Learning With Subquadratic Regularization : A Primal-Dual Approach IJCAI 2020 Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms NeurIPS 2020 Less is Better: A cognitively inspired unsupervised model for language segmentation COLING 2020 Leverage Score Sampling for Faster Accelerated Regression and ERM ALT 2020 Leveraging Graph to Improve Abstractive Multi-Document Summarization ACL 2020 Lifted Disjoint Paths with Application in Multiple Object Tracking ICML 2020 Lifted Fact-Alternating Mutex Groups and Pruned Grounding of Classical Planning Problems AAAI 2020 Lifting Preferences over Alternatives to Preferences over Sets of Alternatives: The Complexity of Recognizing Desirable Families of Sets AAAI 2020 Limits on Testing Structural Changes in Ising Models NeurIPS 2020 Linear Bandits with Feature Feedback AAAI 2020 Linear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex Programming ICML 2020 Linear Lower Bounds and Conditioning of Differentiable Games ICML 2020 Linearly Convergent Frank-Wolfe with Backtracking Line-Search AISTATS 2020 Linear-Sample Learning of Low-Rank Distributions NeurIPS 2020 Linear Time Sinkhorn Divergences using Positive Features NeurIPS 2020 Lipschitz and Comparator-Norm Adaptivity in Online Learning COLT 2020 List Decodable Subspace Recovery COLT 2020 Locally Accelerated Conditional Gradients AISTATS 2020 Locally-Adaptive Nonparametric Online Learning NeurIPS 2020 (Locally) Differentially Private Combinatorial Semi-Bandits ICML 2020 Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms NeurIPS 2020 Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings CVPR 2020