Optimization

Bilinear Parameterization for Non-Separable Singular Value Penalties CVPR 2021 BiPointNet: Binary Neural Network for Point Clouds ICLR 2021 Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity JMLR 2021 Blind Deblurring for Saturated Images CVPR 2021 Boosting of Contextual Information in ASR for Air-Traffic Call-Sign Recognition Interspeech 2021 Boosting Variational Inference With Locally Adaptive Step-Sizes IJCAI 2021 Boosting with Multiple Sources NeurIPS 2021 Boost then Convolve: Gradient Boosting Meets Graph Neural Networks ICLR 2021 BORE: Bayesian Optimization by Density-Ratio Estimation ICML 2021 Bounded-cost Search Using Estimates of Uncertainty IJCAI 2021 Bounds all around: training energy-based models with bidirectional bounds NeurIPS 2021 Breaking the centralized barrier for cross-device federated learning NeurIPS 2021 Breaking the Deadly Triad with a Target Network ICML 2021 Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures NeurIPS 2021 Bringing UMAP Closer to the Speed of Light with GPU Acceleration AAAI 2021 BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization ICLR 2021 Budget-feasible Maximum Nash Social Welfare is Almost Envy-free IJCAI 2021 Budget-feasible Mechanisms for Representing Groups of Agents Proportionally IJCAI 2021 BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining NeurIPS 2021 Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification ICLR 2021 Byzantine-Resilient Non-Convex Stochastic Gradient Descent ICLR 2021 CADA: Communication-Adaptive Distributed Adam AISTATS 2021 CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression NeurIPS 2021 Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression NeurIPS 2021 Cardinality constrained submodular maximization for random streams NeurIPS 2021