← Optimization
Mathematics & Optimization › Optimization ›

Optimization

1203 directly classified papers

Papers per year

Papers

FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models NIPS 2024
Gradient Guidance for Diffusion Models: An Optimization Perspective NIPS 2024
Fitting ARMA Time Series Models without Identification: A Proximal Approach AISTATS 2024
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements AISTATS 2024
Convergence for nonconvex ADMM, with applications to CT imaging JMLR 2024
Implications of Distance over Redistricting Maps: Central and Outlier Maps AAAI 2024
OptFlow: Fast Optimization-Based Scene Flow Estimation Without Supervision WACV 2024
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model CVPR 2024
Deep Plug-and-Play Nighttime Non-Blind Deblurring With Saturated Pixel Handling Schemes WACV 2024
InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization CVPR 2024
Estimating Fog Parameters From an Image Sequence Using Non-Linear Optimisation WACV 2024
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection NIPS 2024
Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes NIPS 2024
Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees NIPS 2024
Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields CVPR 2024
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization NIPS 2024
ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization CVPR 2024
Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition NIPS 2024
Communication Efficient Distributed Newton Method over Unreliable Networks AAAI 2024
Non-geodesically-convex optimization in the Wasserstein space NIPS 2024
Pudica: Toward Near-Zero Queuing Delay in Congestion Control for Cloud Gaming NSDI 2024
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate AISTATS 2024
A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of $\Theta(T^{2/3})$ and its Application to Best-of-Both-Worlds NIPS 2024
Parameter-Agnostic Optimization under Relaxed Smoothness AISTATS 2024
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization NIPS 2024