Mathematics & Optimization

Inference on Strongly Identified Functionals of Weakly Identified Functions COLT 2023 Inference on the Change Point under a High Dimensional Covariance Shift JMLR 2023 Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations JMLR 2023 InfoOT: Information Maximizing Optimal Transport ICML 2023 Information-Computation Tradeoffs for Learning Margin Halfspaces with Random Classification Noise COLT 2023 Information Design in Multi-Agent Reinforcement Learning NeurIPS 2023 Information-Directed Selection for Top-Two Algorithms COLT 2023 Information-guided Planning: An Online Approach for Partially Observable Problems NeurIPS 2023 Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI NeurIPS 2023 Information theoretic clustering via divergence maximization among clusters UAI 2023 Information Theoretic Lower Bounds for Information Theoretic Upper Bounds NeurIPS 2023 Information Value: Measuring Utterance Predictability as Distance from Plausible Alternatives EMNLP 2023 INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models EMNLP 2023 Initialization Noise in Image Gradients and Saliency Maps CVPR 2023 Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization NeurIPS 2023 Instance-Dependent Generalization Bounds via Optimal Transport JMLR 2023 Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games AISTATS 2023 Instance-Optimality in Interactive Decision Making: Toward a Non-Asymptotic Theory COLT 2023 InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators EMNLP 2023 Instrumental Processes Using Integrated Covariances CLeaR 2023 Instrumental Variable Estimation of Average Partial Causal Effects ICML 2023 Integer Subspace Differential Privacy AAAI 2023 Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions NeurIPS 2023 Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics ICML 2023 Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics JMLR 2023