Mathematics

Locally Regularized Sparse Graph by Fast Proximal Gradient Descent UAI 2023 Local Message Passing on Frustrated Systems UAI 2023 LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees NeurIPS 2023 Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models COLT 2023 Lower Bounds on the Depth of Integral ReLU Neural Networks via Lattice Polytopes ICLR 2023 Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence JMLR 2023 Machine learning detects terminal singularities NeurIPS 2023 Machines of Finite Depth: Towards a Formalization of Neural Networks AAAI 2023 Many-body Approximation for Non-negative Tensors NeurIPS 2023 Markovian Sliced Wasserstein Distances: Beyond Independent Projections NeurIPS 2023 Matchings under One-Sided Preferences with Soft Quotas IJCAI 2023 Materialisation-Based Reasoning in DatalogMTL with Bounded Intervals AAAI 2023 Maximal Initial Learning Rates in Deep ReLU Networks ICML 2023 Max Markov Chain IJCAI 2023 Max-Sliced Mutual Information NeurIPS 2023 Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach AAAI 2023 Measuring and Controlling Divisiveness in Rank Aggregation IJCAI 2023 Measuring a Priori Voting Power in Liquid Democracy IJCAI 2023 Measuring Pointwise 𝒱-Usable Information In-Context-ly EMNLP 2023 Metrizing Weak Convergence with Maximum Mean Discrepancies JMLR 2023 MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods ICML 2023 Microcanonical Hamiltonian Monte Carlo JMLR 2023 MIM4DD: Mutual Information Maximization for Dataset Distillation NeurIPS 2023 Minimal Solutions to Uncalibrated Two-view Geometry with Known Epipoles ICCV 2023 Minimax estimation of discontinuous optimal transport maps: The semi-discrete case ICML 2023