Mathematics & Optimization

Private High-Dimensional Hypothesis Testing COLT 2022 Private Matrix Approximation and Geometry of Unitary Orbits COLT 2022 Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size AISTATS 2022 Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data Revisited IJCAI 2022 Private Streaming SCO in ℓ_p geometry with Applications in High Dimensional Online Decision Making ICML 2022 Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations AISTATS 2022 Probabilistic ODE Solutions in Millions of Dimensions ICML 2022 Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback AAAI 2022 Product Ranking for Revenue Maximization with Multiple Purchases NeurIPS 2022 Project and Forget: Solving Large-Scale Metric Constrained Problems JMLR 2022 Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative Priors IJCAI 2022 Projected Robust PCA with Application to Smooth Image Recovery JMLR 2022 Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric JMLR 2022 Projection-free Distributed Online Learning with Sublinear Communication Complexity JMLR 2022 Proportional allocation of indivisible resources under ordinal and uncertain preferences. UAI 2022 Proportional Budget Allocations: Towards a Systematization IJCAI 2022 Proportional Public Decisions AAAI 2022 Propositional Encodings of Acyclicity and Reachability by Using Vertex Elimination AAAI 2022 ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits ACML 2022 Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Lojasiewicz Functions when the Non-Convexity is Averaged-Out ICML 2022 Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay AAAI 2022 Provable Tensor-Train Format Tensor Completion by Riemannian Optimization JMLR 2022 Provably convergent quasistatic dynamics for mean-field two-player zero-sum games ICLR 2022 Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games AISTATS 2022 Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization ICML 2022