Optimization

A Reinforcement Learning Look at Risk-Sensitive Linear Quadratic Gaussian Control L4DC 2023 A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs JMLR 2023 Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? ICML 2023 A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance NeurIPS 2023 Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models ICML 2023 A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks ICML 2023 ASAG: Building Strong One-Decoder-Layer Sparse Detectors via Adaptive Sparse Anchor Generation ICCV 2023 A Sampling-Based Approach for Heterogeneous Coalition Scheduling with Temporal Uncertainty RSS 2023 A Scalable Frank-Wolfe-Based Algorithm for the Max-Cut SDP ICML 2023 A Scalable Neural Network for DSIC Affine Maximizer Auction Design NeurIPS 2023 A Second-Order Method for Stochastic Bandit Convex Optimisation COLT 2023 A Semidefinite Relaxation Based Branch-and-Bound Method for Tight Neural Network Verification AAAI 2023 A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm NeurIPS 2023 A Skeletonization Algorithm for Gradient-Based Optimization ICCV 2023 ASkewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks AISTATS 2023 ASPEN: Breaking Operator Barriers for Efficient Parallelization of Deep Neural Networks NeurIPS 2023 A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks ICLR 2023 A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets AISTATS 2023 A Survey of Methods for Automated Algorithm Configuration (Extended Abstract) IJCAI 2023 A Survey on Dataset Distillation: Approaches, Applications and Future Directions IJCAI 2023 A Survey on Efficient Training of Transformers IJCAI 2023 Asymptotic confidence sets for random linear programs COLT 2023 Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees JMLR 2023 A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training ACL 2023 A Table-to-Text Framework with Heterogeneous Multidominance Attention and Self-Evaluated Multi-Pass Deliberation EMNLP 2023