Optimization

Novel Upper Bounds for the Constrained Most Probable Explanation Task NeurIPS 2021 NTopo: Mesh-free Topology Optimization using Implicit Neural Representations NeurIPS 2021 NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM NeurIPS 2021 Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention AAAI 2021 Objective Bound Conditional Gaussian Process for Bayesian Optimization ICML 2021 Oblivious Sketching-based Central Path Method for Linear Programming ICML 2021 Observation-Free Attacks on Stochastic Bandits NeurIPS 2021 OCTIS: Comparing and Optimizing Topic models is Simple! EACL 2021 Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration NeurIPS 2021 Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation ICLR 2021 Offset-free setpoint tracking using neural network controllers L4DC 2021 On a Combination of Alternating Minimization and Nesterov’s Momentum ICML 2021 On ADMM in Deep Learning: Convergence and Saturation-Avoidance JMLR 2021 On Avoiding the Union Bound When Answering Multiple Differentially Private Queries COLT 2021 On Characterizing GAN Convergence Through Proximal Duality Gap ICML 2021 On Convergence of Gradient Expected Sarsa(λ) AAAI 2021 On Effective Scheduling of Model-based Reinforcement Learning NeurIPS 2021 On efficient multilevel Clustering via Wasserstein distances JMLR 2021 One-pass Stochastic Gradient Descent in overparametrized two-layer neural networks AISTATS 2021 One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them JMLR 2021 One-shot Graph Neural Architecture Search with Dynamic Search Space AAAI 2021 On Estimation in Latent Variable Models ICML 2021 Online Blind Audio Source Separation Using Recursive Expectation-Maximization Interspeech 2021 Online Boosting with Bandit Feedback ALT 2021 Online Convex Optimization with Continuous Switching Constraint NeurIPS 2021