Mathematics

On Affine Homotopy between Language Encoders NeurIPS 2024 On Computing Makespan-Optimal Solutions for Generalized Sliding-Tile Puzzles AAAI 2024 On cyclical MCMC sampling AISTATS 2024 On Differentially Private U Statistics NeurIPS 2024 On Interpolating Experts and Multi-Armed Bandits ICML 2024 Online Estimation via Offline Estimation: An Information-Theoretic Framework NeurIPS 2024 Online Infinite-Dimensional Regression: Learning Linear Operators ALT 2024 Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs ICML 2024 Online multiple testing with e-values AISTATS 2024 Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization AISTATS 2024 Online Sampling and Decision Making with Low Entropy IJCAI 2024 Online Variational Sequential Monte Carlo ICML 2024 On Parameter Estimation in Deviated Gaussian Mixture of Experts AISTATS 2024 On Ranking-based Tests of Independence AISTATS 2024 On Regularized Radon-Nikodym Differentiation JMLR 2024 On Socially Fair Low-Rank Approximation and Column Subset Selection NeurIPS 2024 On Statistical Learning Theory for Distributional Inputs ICML 2024 On Sufficient Graphical Models JMLR 2024 On Tail Decay Rate Estimation of Loss Function Distributions JMLR 2024 On the Complexity of Finding Set Repairs for Data-Graphs (Abstract Reprint) IJCAI 2024 On the Complexity of Identification in Linear Structural Causal Models NeurIPS 2024 On the connection between Noise-Contrastive Estimation and Contrastive Divergence AISTATS 2024 On the Consistency of Kernel Methods with Dependent Observations ICML 2024 On the convergence of adaptive first order methods: Proximal gradient and alternating minimization algorithms L4DC 2024 On the estimation of persistence intensity functions and linear representations of persistence diagrams AISTATS 2024