Continuous Optimization

Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees NeurIPS 2024 Piecewise Constant and Linear Regression Trees: An Optimal Dynamic Programming Approach ICML 2024 PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs NeurIPS 2024 Policy Mirror Descent with Lookahead NeurIPS 2024 Poseidon: Efficient Foundation Models for PDEs NeurIPS 2024 Position: Optimization in SciML Should Employ the Function Space Geometry ICML 2024 Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds ICML 2024 Power of knockoff: The impact of ranking algorithm, augmented design, and symmetric statistic JMLR 2024 Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory ICML 2024 Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract) AAAI 2024 Principled Preferential Bayesian Optimization ICML 2024 PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses ICML 2024 Privacy Preserving Adaptive Experiment Design ICML 2024 Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry NeurIPS 2024 Private Geometric Median NeurIPS 2024 Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation ICML 2024 Privately Learning Smooth Distributions on the Hypercube by Projections ICML 2024 Private Truly-Everlasting Robust-Prediction ICML 2024 Proactive DP: A Multiple Target Optimization Framework for DP-SGD ICML 2024 Prodigy: An Expeditiously Adaptive Parameter-Free Learner ICML 2024 Progressive Entropic Optimal Transport Solvers NeurIPS 2024 Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization ICML 2024 Promoting External and Internal Equities Under Ex-Ante/Ex-Post Metrics in Online Resource Allocation ICML 2024 Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks NeurIPS 2024 Proving Linear Mode Connectivity of Neural Networks via Optimal Transport AISTATS 2024