Optimization

Scale-free Unconstrained Online Learning for Curved Losses COLT 2022 Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements JMLR 2022 Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times ICML 2022 Scaling Up Influence Functions AAAI 2022 ScePT: Scene-Consistent, Policy-Based Trajectory Predictions for Planning CVPR 2022 SDQ: Stochastic Differentiable Quantization with Mixed Precision ICML 2022 Search-based Reinforcement Learning through Bandit Linear Optimization IJCAI 2022 Searching for a Higher Power in the Human Evaluation of MT EMNLP 2022 Searching for Optimal Subword Tokenization in Cross-domain NER IJCAI 2022 Searching the Deployable Convolution Neural Networks for GPUs CVPR 2022 Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data IJCAI 2022 Second-Order Sensitivity Analysis for Bilevel Optimization AISTATS 2022 Secure Quantized Training for Deep Learning ICML 2022 Selective Network Linearization for Efficient Private Inference ICML 2022 Self-ensemble Adversarial Training for Improved Robustness ICLR 2022 Self-Normalized Importance Sampling for Neural Language Modeling Interspeech 2022 Semantically Distributed Robust Optimization for Vision-and-Language Inference ACL 2022 Semiconductor Defect Detection by Hybrid Classical-Quantum Deep Learning CVPR 2022 Semi-Discrete Normalizing Flows through Differentiable Tessellation NeurIPS 2022 Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness AISTATS 2022 Semi-infinitely Constrained Markov Decision Processes NeurIPS 2022 SentBS: Sentence-level Beam Search for Controllable Summarization EMNLP 2022 Separating Long-Form Speech with Group-wise Permutation Invariant Training Interspeech 2022 Seq2Pat: Sequence-to-Pattern Generation for Constraint-Based Sequential Pattern Mining AAAI 2022 Sequence-to-Set Generative Models NeurIPS 2022