Optimization

Boosted Conformal Prediction Intervals NeurIPS 2024 BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning NeurIPS 2024 Bridging the Divide: Reconsidering Softmax and Linear Attention NeurIPS 2024 Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NeurIPS 2024 C3: High-Performance and Low-Complexity Neural Compression from a Single Image or Video CVPR 2024 Cascade Speculative Drafting for Even Faster LLM Inference NeurIPS 2024 CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework NeurIPS 2024 Certified Machine Unlearning via Noisy Stochastic Gradient Descent NeurIPS 2024 Challenges in Training PINNs: A Loss Landscape Perspective ICML 2024 Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization NeurIPS 2024 CoCA: Fusing Position Embedding with Collinear Constrained Attention in Transformers for Long Context Window Extending ACL 2024 CodeFort: Robust Training for Code Generation Models EMNLP 2024 CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization NeurIPS 2024 Common Diffusion Noise Schedules and Sample Steps Are Flawed WACV 2024 Compressing Large Language Models using Low Rank and Low Precision Decomposition NeurIPS 2024 Confidence Calibration of Classifiers with Many Classes NeurIPS 2024 Constant Acceleration Flow NeurIPS 2024 Constrained Diffusion with Trust Sampling NeurIPS 2024 Constrained Implicit Learning Framework for Neural Network Sparsification ACML 2024 Constrained Probabilistic Mask Learning for Task-Specific Undersampled MRI Reconstruction WACV 2024 Constrained Synthesis with Projected Diffusion Models NeurIPS 2024 Controlling Continuous Relaxation for Combinatorial Optimization NeurIPS 2024 Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion COLT 2024 Countering the Communication Bottleneck in Federated Learning: A Highly Efficient Zero-Order Optimization Technique JMLR 2024 CQIL: Inference Latency Optimization with Concurrent Computation of Quasi-Independent Layers ACL 2024