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Optimization

14,983 papers

Papers per year

18
112
342
1289
1646
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Papers

MathNAS: If Blocks Have a Role in Mathematical Architecture Design NIPS 2023
Scaling Laws for Hyperparameter Optimization NIPS 2023
DeepPCR: Parallelizing Sequential Operations in Neural Networks NIPS 2023
Temporal Robustness against Data poisoning NIPS 2023
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models NIPS 2023
Mechanic: A Learning Rate Tuner NIPS 2023
Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition NIPS 2023
Unbiased Compression Saves Communication in Distributed Optimization: When and How Much? NIPS 2023
No-regret Algorithms for Fair Resource Allocation NIPS 2023
Online PCA in Converging Self-consistent Field Equations NIPS 2023
Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming NIPS 2023
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective NIPS 2023
Temporal Dynamic Quantization for Diffusion Models NIPS 2023
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making NIPS 2023
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data NIPS 2023
QuadAttac$K$: A Quadratic Programming Approach to Learning Ordered Top-$K$ Adversarial Attacks NIPS 2023
PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems NIPS 2023
An Inverse Scaling Law for CLIP Training NIPS 2023
TD Convergence: An Optimization Perspective NIPS 2023
Symbolic Discovery of Optimization Algorithms NIPS 2023
On Calibrating Diffusion Probabilistic Models NIPS 2023
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt NIPS 2023
Stable Nonconvex-Nonconcave Training via Linear Interpolation NIPS 2023
Coop: Memory is not a Commodity NIPS 2023
T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization NIPS 2023