Optimization

Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning CoRL 2021 Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory L4DC 2021 Linear Last-iterate Convergence in Constrained Saddle-point Optimization ICLR 2021 L-SVRG and L-Katyusha with Arbitrary Sampling JMLR 2021 LTL-Constrained Steady-State Policy Synthesis IJCAI 2021 Minimax Adaptive Control for a Finite Set of Linear Systems L4DC 2021 Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent AISTATS 2021 Modified Frank Wolfe in Probability Space NeurIPS 2021 More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method ICML 2021 Multidimensional Scaling: Approximation and Complexity ICML 2021 Multi-View 3D Reconstruction of a Texture-Less Smooth Surface of Unknown Generic Reflectance CVPR 2021 Near-Optimal Data Source Selection for Bayesian Learning L4DC 2021 Newton Method over Networks is Fast up to the Statistical Precision ICML 2021 Noise Robust Pitch Stylization Using Minimum Mean Absolute Error Criterion Interspeech 2021 Non-conservative Design of Robust Tracking Controllers Based on Input-output Data L4DC 2021 Oblivious Sketching-based Central Path Method for Linear Programming ICML 2021 On ADMM in Deep Learning: Convergence and Saturation-Avoidance JMLR 2021 On Estimation in Latent Variable Models ICML 2021 Online A-Optimal Design and Active Linear Regression ICML 2021 On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression AISTATS 2021 On the Verification of Neural ODEs with Stochastic Guarantees AAAI 2021 On Uninformative Optimal Policies in Adaptive LQR with Unknown B-Matrix L4DC 2021 Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method ICML 2021 Optimal Quantization Using Scaled Codebook CVPR 2021 Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization ICML 2021