Mathematics & Optimization

Inferring Multiple Tissue Properties from Magnetic Resonance Fingerprinting Images AAAI 2022 Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality NeurIPS 2022 Information design for multiple independent and self-interested defenders: Work less, pay off more UAI 2022 Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning AISTATS 2022 Information-Theoretic Safe Exploration with Gaussian Processes NeurIPS 2022 Insight into Voting Problem Complexity Using Randomized Classes IJCAI 2022 Instance Dependent Regret Analysis of Kernelized Bandits ICML 2022 Instance-Sensitive Algorithms for Pure Exploration in Multinomial Logit Bandit AAAI 2022 Integer and Constraint Programming Revisited for Mutually Orthogonal Latin Squares (Student Abstract) AAAI 2022 Integrating Machine Learning and Optimization to Boost Decision Making IJCAI 2022 Interaction and Expressivity in Collective Decision-Making IJCAI 2022 Interval-censored Hawkes processes JMLR 2022 Intrinsic Gradient Compression for Scalable and Efficient Federated Learning ACL 2022 Invariance-Aware Randomized Smoothing Certificates NeurIPS 2022 Invariant Ancestry Search ICML 2022 Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality NeurIPS 2022 Inverse Problems for Gradual Semantics IJCAI 2022 Is Sortition Both Representative and Fair? NeurIPS 2022 Is There a Strongest Die in a Set of Dice with the Same Mean Pips? AAAI 2022 Iterative Double Sketching for Faster Least-Squares Optimization ICML 2022 Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime ICML 2022 Iterative Structural Inference of Directed Graphs NeurIPS 2022 JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search NeurIPS 2022 Joint Continuous and Discrete Model Selection via Submodularity JMLR 2022 Joint Entropy Search For Maximally-Informed Bayesian Optimization NeurIPS 2022