Continuous Optimization

SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems ICML 2023 Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials NeurIPS 2023 Tackling Combinatorial Distribution Shift: A Matrix Completion Perspective COLT 2023 Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization ICML 2023 Template-Based Piecewise Affine Regression L4DC 2023 Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning CVPR 2023 Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data AISTATS 2023 Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness AAAI 2023 The Computational Complexity of Finding Stationary Points in Non-Convex Optimization COLT 2023 The Fast Johnson-Lindenstrauss Transform Is Even Faster ICML 2023 The Impact of the Geometric Properties of the Constraint Set in Safe Optimization with Bandit Feedback L4DC 2023 The Monge Gap: A Regularizer to Learn All Transport Maps ICML 2023 The multimarginal optimal transport formulation of adversarial multiclass classification JMLR 2023 Theoretical Bounds on the Network Community Profile from Low-rank Semi-definite Programming ICML 2023 The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing ICML 2023 The Power of Uniform Sampling for k-Median ICML 2023 The probability flow ODE is provably fast NeurIPS 2023 The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions NeurIPS 2023 The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time JMLR 2023 Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance NeurIPS 2023 Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations ICML 2023 Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value NeurIPS 2023 Towards Stable and Efficient Adversarial Training against l_1 Bounded Adversarial Attacks ICML 2023 Training neural operators to preserve invariant measures of chaotic attractors NeurIPS 2023 Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization ICML 2023