Theory

Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set JMLR 2023 Participatory Budgeting: Data, Tools and Analysis IJCAI 2023 Path following algorithms for ℓ_2-regularized M-estimation with approximation guarantee NeurIPS 2023 Path Neural Networks: Expressive and Accurate Graph Neural Networks ICML 2023 Performative Prediction with Neural Networks AISTATS 2023 Persistent Homology through Image Segmentation (Student Abstract) AAAI 2023 Perturbation Analysis of Neural Collapse ICML 2023 Plateau in Monotonic Linear Interpolation --- A "Biased" View of Loss Landscape for Deep Networks ICLR 2023 Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision ICML 2023 Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions EMNLP 2023 Practical Markov Boundary Learning without Strong Assumptions AAAI 2023 Precise Asymptotic Analysis of Deep Random Feature Models COLT 2023 Precision Recall Cover: A Method For Assessing Generative Models AISTATS 2023 Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification JMLR 2023 Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction EMNLP 2023 Probabilistically robust conformal prediction UAI 2023 Probabilistic Temporal Logic for Reasoning about Bounded Policies IJCAI 2023 Probing for Hyperbole in Pre-Trained Language Models ACL 2023 Progress and Limitations of Deep Networks to Recognize Objects in Unusual Poses AAAI 2023 Proportionality Guarantees in Elections with Interdependent Issues IJCAI 2023 Provable benefits of score matching NeurIPS 2023 Provable Data Subset Selection For Efficient Neural Networks Training ICML 2023 Provable Defense Against Geometric Transformations ICLR 2023 Provable Detection of Propagating Sampling Bias in Prediction Models AAAI 2023 Provable Robustness against Wasserstein Distribution Shifts via Input Randomization ICLR 2023