Optimization

NeurST: Neural Speech Translation Toolkit ACL 2021 NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL NeurIPS 2021 Never Go Full Batch (in Stochastic Convex Optimization) NeurIPS 2021 New Bounds For Distributed Mean Estimation and Variance Reduction ICLR 2021 Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update NeurIPS 2021 Newton Method over Networks is Fast up to the Statistical Precision ICML 2021 Newton Optimization on Helmholtz Decomposition for Continuous Games AAAI 2021 Noise Robust Pitch Stylization Using Minimum Mean Absolute Error Criterion Interspeech 2021 Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds ICLR 2021 Non-attracting Regions of Local Minima in Deep and Wide Neural Networks JMLR 2021 Non-conservative Design of Robust Tracking Controllers Based on Input-output Data L4DC 2021 Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis NeurIPS 2021 Nondeterminism and Instability in Neural Network Optimization ICML 2021 Non-Euclidean Differentially Private Stochastic Convex Optimization COLT 2021 Non-Exponentially Weighted Aggregation: Regret Bounds for Unbounded Loss Functions ICML 2021 Nonlinear Acoustic Echo Cancellation with Deep Learning Interspeech 2021 Nonlinear Data-Enabled Prediction and Control L4DC 2021 Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks AISTATS 2021 Nonlinear Two-Time-Scale Stochastic Approximation: Convergence and Finite-Time Performance L4DC 2021 Nonmyopic Multifidelity Acitve Search ICML 2021 Nonsmooth Implicit Differentiation for Machine-Learning and Optimization NeurIPS 2021 No-regret approximate inference via Bayesian optimisation UAI 2021 No-Regret Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2021 NormalFusion: Real-Time Acquisition of Surface Normals for High-Resolution RGB-D Scanning CVPR 2021 NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-end Learning and Control ICLR 2021