Mathematics & Optimization

Counting Background Knowledge Consistent Markov Equivalent Directed Acyclic Graphs UAI 2023 Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual Observation NeurIPS 2023 Counting Knot Mosaics with ALLSAT (Student Abstract) AAAI 2023 Coupled Multiwavelet Operator Learning for Coupled Differential Equations ICLR 2023 Coupled Variational Autoencoder ICML 2023 Covariate balancing using the integral probability metric for causal inference ICML 2023 Covariate-Shift Generalization via Random Sample Weighting AAAI 2023 Curvature and complexity: Better lower bounds for geodesically convex optimization COLT 2023 Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization ICML 2023 D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching ICML 2023 DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization ICML 2023 Dagster: Parallel Structured Search AAAI 2023 DASH: A Distributed and Parallelizable Algorithm for Size-Constrained Submodular Maximization AAAI 2023 Data Banzhaf: A Robust Data Valuation Framework for Machine Learning AISTATS 2023 Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness NeurIPS 2023 Data-Driven Invariant Learning for Probabilistic Programs (Extended Abstract) IJCAI 2023 Data-driven memory-dependent abstractions of dynamical systems L4DC 2023 Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances NeurIPS 2023 Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations NeurIPS 2023 Data Structures for Density Estimation ICML 2023 Daycare Matching in Japan: Transfers and Siblings AAAI 2023 D-CIPHER: Discovery of Closed-form Partial Differential Equations NeurIPS 2023 Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models NeurIPS 2023 Decentralization and Acceleration Enables Large-Scale Bundle Adjustment RSS 2023 Decentralized Learning: Theoretical Optimality and Practical Improvements JMLR 2023