Optimization

The Power of Adaptivity for Stochastic Submodular Cover ICML 2021 The Power of Factorial Powers: New Parameter settings for (Stochastic) Optimization ACML 2021 The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods ICLR 2021 The Volctrans Neural Speech Translation System for IWSLT 2021 ACL 2021 THiFly_Queens at SemEval-2021 Task 9: Two-stage Statement Verification with Adaptive Ensembling and Slot-based Operation SemEval 2021 Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces ICML 2021 Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss COLT 2021 THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation AAAI 2021 Three Operator Splitting with a Nonconvex Loss Function ICML 2021 Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates NeurIPS 2021 Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery AISTATS 2021 Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters AAAI 2021 Tied & Reduced RNN-T Decoder Interspeech 2021 Tilted Empirical Risk Minimization ICLR 2021 Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods NeurIPS 2021 Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport EMNLP 2021 Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems ICCV 2021 TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework NeurIPS 2021 Tool- and Domain-Agnostic Parameterization of Style Transfer Effects Leveraging Pretrained Perceptual Metrics IJCAI 2021 To Optimize, or Not to Optimize, That Is the Question: TelU-KU Models for WMT21 Large-Scale Multilingual Machine Translation EMNLP 2021 Top-k Ranking Bayesian Optimization AAAI 2021 To The Point: Correspondence-driven monocular 3D category reconstruction NeurIPS 2021 Towards a Dimension-Free Understanding of Adaptive Linear Control COLT 2021 Towards a unified framework for fair and stable graph representation learning UAI 2021 Towards Compact CNNs via Collaborative Compression CVPR 2021