Conference
DORO: Distributional and Outlier Robust Optimization
DORO: Distributional and Outlier Robust Optimization
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization
ENFORCING ROBUST CONTROL GUARANTEES WITHIN NEURAL NETWORK POLICIES
ESTIMATING LIPSCHITZ CONSTANTS OF MONOTONE DEEP EQUILIBRIUM MODELS
GRADIENT DESCENT ON NEURAL NETWORKS TYPICALLY OCCURS AT THE EDGE OF STABILITY
Joint inference and input optimization in equilibrium networks
LEARNING PERTURBATION SETS FOR ROBUST MACHINE LEARNING
MULTIPLICATIVE FILTER NETWORKS
Orthogonalizing Convolutional Layers with the Cayley Transform
PROVABLY ROBUST CLASSIFICATION OF ADVERSARIAL EXAMPLES WITH DETECTION
Provably Safe PAC-MDP Exploration Using Analogies
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds
AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning