Optimization

Buying Information for Stochastic Optimization ICML 2023 Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting ICML 2023 Byzantine-Tolerant Methods for Distributed Variational Inequalities NeurIPS 2023 Calibrating “Cheap Signals” in Peer Review without a Prior NeurIPS 2023 Can 5th Generation Local Training Methods Support Client Sampling? Yes! AISTATS 2023 Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference ! ACL 2023 Can Graph Neural Networks Learn to Solve the MaxSAT Problem? (Student Abstract) AAAI 2023 Cascading Contextual Assortment Bandits NeurIPS 2023 Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity AISTATS 2023 Causal-DFQ: Causality Guided Data-Free Network Quantization ICCV 2023 Causal Discovery with Score Matching on Additive Models with Arbitrary Noise CLeaR 2023 Causal Effect Identification in Uncertain Causal Networks NeurIPS 2023 Causal Entropy Optimization AISTATS 2023 Causal Signal-Based DCCRN with Overlapped-Frame Prediction for Online Speech Enhancement Interspeech 2023 CBA: Improving Online Continual Learning via Continual Bias Adaptor ICCV 2023 CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes CVPR 2023 CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems AAAI 2023 Certification of Distributional Individual Fairness NeurIPS 2023 Certified Invertibility in Neural Networks via Mixed-Integer Programming L4DC 2023 Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization NeurIPS 2023 Certified Robust Neural Networks: Generalization and Corruption Resistance ICML 2023 CGBA: Curvature-aware Geometric Black-box Attack ICCV 2023 Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception NeurIPS 2023 Character alignment methods for dialect-to-standard normalization ACL 2023 Characterizing the Impacts of Instances on Robustness ACL 2023