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Optimization

1638 directly classified papers

Papers per year

Papers

PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX JMLR 2024
Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations NIPS 2024
Accelerating Relative Entropy Coding with Space Partitioning NIPS 2024
GaLileo: General Linear Relaxation Framework for Tightening Robustness Certification of Transformers AAAI 2024
IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model NIPS 2024
SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention NIPS 2024
Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization AAAI 2024
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning AAAI 2024
SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization NIPS 2024
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling NIPS 2024
DeepBern-Nets: Taming the Complexity of Certifying Neural Networks Using Bernstein Polynomial Activations and Precise Bound Propagation AAAI 2024
Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion NIPS 2024
ADOPT: Modified Adam Can Converge with Any $\beta_2$ with the Optimal Rate NIPS 2024
The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank AAAI 2024
Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing AAAI 2024
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models AAAI 2024
Even Sparser Graph Transformers NIPS 2024
The Star Geometry of Critic-Based Regularizer Learning NIPS 2024
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion AAAI 2024
2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution NIPS 2024
Benefits of Non-Linear Scale Parameterizations in Black Box Variational Inference through Smoothness Results and Gradient Variance Bounds AISTATS 2024
On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions AISTATS 2024
MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map NIPS 2024
Understanding Entropic Regularization in GANs JMLR 2024
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing AAAI 2024