Mathematics & Optimization

Improving Sharpness-Aware Minimization by Lookahead ICML 2024 Improving the Convergence of Dynamic NeRFs via Optimal Transport ICLR 2024 Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity NeurIPS 2024 In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies NeurIPS 2024 Incentivized Learning in Principal-Agent Bandit Games ICML 2024 Inconsistency of Cross-Validation for Structure Learning in Gaussian Graphical Models AISTATS 2024 Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques NeurIPS 2024 Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates AAAI 2024 Independence of Irrelevant Alternatives under the Lens of Pairwise Distortion AAAI 2024 Independent-Set Design of Experiments for Estimating Treatment and Spillover Effects under Network Interference ICLR 2024 Individual-centered Partial Information in Social Networks JMLR 2024 Individual Fairness in Graph Decomposition ICML 2024 Individual Fairness under Group Fairness Constraints in Bipartite Matching - One Framework to Approximate Them All IJCAI 2024 Individualized Privacy Accounting via Subsampling with Applications in Combinatorial Optimization ICML 2024 Individual Rationality in Topological Distance Games Is Surprisingly Hard IJCAI 2024 Inductive Invariants That Spark Joy: Using Invariant Taxonomies to Streamline Distributed Protocol Proofs OSDI 2024 Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy AAAI 2024 Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence NeurIPS 2024 Inexact Newton-type Methods for Optimisation with Nonnegativity Constraints ICML 2024 Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints JMLR 2024 Inference in Probabilistic Answer Set Programs with Imprecise Probabilities via Optimization UAI 2024 Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting ICML 2024 Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors NeurIPS 2024 Infinite-Dimensional Feature Interaction NeurIPS 2024 Infinite-Horizon Distributionally Robust Regret-Optimal Control ICML 2024