Optimization
17,731 papers
Papers per year
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337
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546
768
1,185
1,385
1,651
1,697
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2,683
2,825
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Papers
Small-loss Adaptive Regret for Online Convex Optimization
ICML 2024
Small-scale proxies for large-scale Transformer training instabilities
ICLR 2024
Small Steps and Level Sets: Fitting Neural Surface Models with Point Guidance
CVPR 2024
Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates
NeurIPS 2024
Smoothing Proximal Gradient Methods for Nonsmooth Sparsity Constrained Optimization: Optimality Conditions and Global Convergence
ICML 2024
Smooth Min-Max Monotonic Networks
ICML 2024
Smooth Tchebycheff Scalarization for Multi-Objective Optimization
ICML 2024
Sobolev Space Regularised Pre Density Models
ICML 2024
Soft ascent-descent as a stable and flexible alternative to flooding
NeurIPS 2024
Soft-constrained Schrödinger Bridge: a Stochastic Control Approach
AISTATS 2024
Soft convex quantization: revisiting Vector Quantization with convex optimization
L4DC 2024
SoftDedup: an Efficient Data Reweighting Method for Speeding Up Language Model Pre-training
ACL 2024
Soft-Label Integration for Robust Toxicity Classification
NeurIPS 2024
Soft Shadow Diffusion (SSD): Physics-inspired Learning for 3D Computational Periscopy
ECCV 2024
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
NAACL 2024
Solving Attention Kernel Regression Problem via Pre-conditioner
AISTATS 2024
Solving Inverse Problems via Diffusion Optimal Control
NeurIPS 2024
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
ICLR 2024
Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization
AAAI 2024
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees
AAAI 2024
Solving Sparse \& High-Dimensional-Output Regression via Compression
NeurIPS 2024
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
ICLR 2024
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning
EMNLP 2024
SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity
ICML 2024
Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs
NeurIPS 2024