Optimization

Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation CVPR 2021 Alternating Direction Method of Multipliers for Quantization AISTATS 2021 Altruism Design in Networked Public Goods Games IJCAI 2021 A Lyapunov Analysis of Accelerated Methods in Optimization JMLR 2021 A Market-Inspired Bidding Scheme for Peer Review Paper Assignment AAAI 2021 Amata: An Annealing Mechanism for Adversarial Training Acceleration AAAI 2021 A Maximum Likelihood Approach to SNR-Progressive Learning Using Generalized Gaussian Distribution for LSTM-Based Speech Enhancement Interspeech 2021 Amnesiac Machine Learning AAAI 2021 A Modular Analysis of Provable Acceleration via Polyak’s Momentum: Training a Wide ReLU Network and a Deep Linear Network ICML 2021 Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate NeurIPS 2021 An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo AISTATS 2021 An algorithmic view of L2 regularization and some path-following algorithms JMLR 2021 Analysis and Tuning of a Voice Assistant System for Dysfluent Speech Interspeech 2021 Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control L4DC 2021 Analytic Study of Families of Spurious Minima in Two-Layer ReLU Neural Networks: A Tale of Symmetry II NeurIPS 2021 An Architecture for Accelerated Large-Scale Inference of Transformer-Based Language Models NAACL 2021 An Asynchronous Kalman Filter for Hybrid Event Cameras ICCV 2021 Anderson acceleration of coordinate descent AISTATS 2021 A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models NeurIPS 2021 An Efficient Algorithm for Deep Stochastic Contextual Bandits AAAI 2021 An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling AISTATS 2021 An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints NeurIPS 2021 An Elastica Geodesic Approach With Convexity Shape Prior ICCV 2021 An Empirical Study of Bayesian Optimization: Acquisition Versus Partition JMLR 2021 An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models ACL 2021