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Optimization

14,983 papers

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Papers

Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization NIPS 2024
Algorithmic progress in language models NIPS 2024
One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently NIPS 2024
Where Do Large Learning Rates Lead Us? NIPS 2024
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation NIPS 2024
Navigating Chemical Space with Latent Flows NIPS 2024
Efficient LLM Scheduling by Learning to Rank NIPS 2024
Swift Sampler: Efficient Learning of Sampler by 10 Parameters NIPS 2024
Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions NIPS 2024
QTIP: Quantization with Trellises and Incoherence Processing NIPS 2024
Minimum Entropy Coupling with Bottleneck NIPS 2024
Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance NIPS 2024
SGD vs GD: Rank Deficiency in Linear Networks NIPS 2024
Simulation-Free Training of Neural ODEs on Paired Data NIPS 2024
Leveraging partial stragglers within gradient coding NIPS 2024
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search NIPS 2024
Constrained Binary Decision Making NIPS 2024
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models NIPS 2024
Real-Time Selection Under General Constraints via Predictive Inference NIPS 2024
The Fine-Grained Complexity of Gradient Computation for Training Large Language Models NIPS 2024
Learning Cut Generating Functions for Integer Programming NIPS 2024
Worst-Case Offline Reinforcement Learning with Arbitrary Data Support NIPS 2024
On Sampling Strategies for Spectral Model Sharding NIPS 2024
Nature-Inspired Local Propagation NIPS 2024
The Mamba in the Llama: Distilling and Accelerating Hybrid Models NIPS 2024