Theory

Para-CFlows: C^k-universal diffeomorphism approximators as superior neural surrogates NeurIPS 2022 Parameterized Completeness Results for Bayesian Inference PGM 2022 Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference NeurIPS 2022 Pareto Optimal Model Selection in Linear Bandits AISTATS 2022 Pay attention to your loss : understanding misconceptions about Lipschitz neural networks NeurIPS 2022 Performance Interfaces for Network Functions NSDI 2022 Performative Prediction in a Stateful World AISTATS 2022 Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks NeurIPS 2022 Phase Transition from Clean Training to Adversarial Training NeurIPS 2022 Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation NeurIPS 2022 Pizza Sharing Is PPA-Hard AAAI 2022 Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL ICML 2022 Polynomial time guarantees for the Burer-Monteiro method NeurIPS 2022 Posterior Asymptotics for Boosted Hierarchical Dirichlet Process Mixtures JMLR 2022 Posthoc Verification and the Fallibility of the Ground Truth NAACL 2022 Power and limitations of single-qubit native quantum neural networks NeurIPS 2022 Power-Law Escape Rate of SGD ICML 2022 Practical Adversarial Multivalid Conformal Prediction NeurIPS 2022 Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression NeurIPS 2022 Predicting Out-of-Distribution Error with the Projection Norm ICML 2022 Provable Adversarial Robustness for Fractional Lp Threat Models AISTATS 2022 Provable Guarantees for Understanding Out-of-Distribution Detection AAAI 2022 Provable Learning-based Algorithm For Sparse Recovery ICLR 2022 Provably Adversarially Robust Nearest Prototype Classifiers ICML 2022 Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes ICML 2022