Theory

The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation? NeurIPS 2022 The Price of Justified Representation AAAI 2022 The Price of Selfishness: Conjunctive Query Entailment for ALCSelf Is 2EXPTIME-Hard AAAI 2022 The Role of Baselines in Policy Gradient Optimization NeurIPS 2022 The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks ICLR 2022 The Sample Complexity of One-Hidden-Layer Neural Networks NeurIPS 2022 The Separation Capacity of Random Neural Networks JMLR 2022 The Shapley Value in Machine Learning IJCAI 2022 The Teaching Dimension of Regularized Kernel Learners ICML 2022 The Tree Loss: Improving Generalization with Many Classes AISTATS 2022 Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points ICML 2022 Tight Bounds for Hybrid Planning IJCAI 2022 Tighter Sparse Approximation Bounds for ReLU Neural Networks ICLR 2022 Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization NeurIPS 2022 Tight Neural Network Verification via Semidefinite Relaxations and Linear Reformulations AAAI 2022 Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting NeurIPS 2022 Together about Dementia IJCAI 2022 Total Energy Shaping with Neural Interconnection and Damping Assignment - Passivity Based Control L4DC 2022 Total Stability of SVMs and Localized SVMs JMLR 2022 Toward a New Science of Common Sense AAAI 2022 Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis NeurIPS 2022 Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees NeurIPS 2022 Towards Better Understanding Attribution Methods CVPR 2022 Towards Bridging Sample Complexity and Model Capacity AAAI 2022 Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective ICLR 2022