Theory

Worst-Case Voting When the Stakes Are High AAAI 2022 You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction ICLR 2022 Your Transformer May Not be as Powerful as You Expect NeurIPS 2022 Zero Stability Well Predicts Performance of Convolutional Neural Networks AAAI 2022 Zero-Sum Stochastic Stackelberg Games NeurIPS 2022 Zonotope Domains for Lagrangian Neural Network Verification NeurIPS 2022 A/B/n Testing with Control in the Presence of Subpopulations NeurIPS 2021 A Central Limit Theorem for Differentially Private Query Answering NeurIPS 2021 A Comprehensively Tight Analysis of Gradient Descent for PCA NeurIPS 2021 A Contraction Approach to Model-based Reinforcement Learning AISTATS 2021 A Convergence Analysis of Gradient Descent on Graph Neural Networks NeurIPS 2021 Active Goal Recognition Design IJCAI 2021 Active Learning for Distributionally Robust Level-Set Estimation ICML 2021 Adapting to function difficulty and growth conditions in private optimization NeurIPS 2021 Adaptive estimation of nonparametric functionals JMLR 2021 Adaptive Sampling for Best Policy Identification in Markov Decision Processes ICML 2021 Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams NeurIPS 2021 Adversarial Examples in Multi-Layer Random ReLU Networks NeurIPS 2021 Adversarial Robustness Guarantees for Random Deep Neural Networks ICML 2021 A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks AISTATS 2021 A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching AAAI 2021 A Functional Approach to Rotation Equivariant Non-Linearities for Tensor Field Networks. CVPR 2021 A Functional Perspective on Learning Symmetric Functions with Neural Networks ICML 2021 A General Setting for Gradual Semantics Dealing with Similarity AAAI 2021 A Geometric Analysis of Deep Generative Image Models and Its Applications ICLR 2021