Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time SeriesVijay EArindam Jatiet al.2024NeurIPS 2024
Thought of Search: Planning with Language Models Through The Lens of EfficiencyMichael KatzHarsha Kokelet al.2024NeurIPS 2024
Interventional Causal Discovery in a Mixture of DAGsBurak VariciDmitriy Katz-Rogozhnikovet al.2024NeurIPS 2024
Distributional Preference Alignment of LLMs via Optimal TransportIgor MelnykYoussef Mrouehet al.2024NeurIPS 2024
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models BenchmarkingGabriel RiouxApoorva Nitsureet al.2024NeurIPS 2024
LLM-Pilot: Characterize and Optimize Performance of your LLM Inference ServicesGosia LazukaAndreea Simona Anghelet al.2024SC 2024
How do Categorical Duplicates Affect ML? A New Benchmark and Empirical AnalysesVraj ShahThomas Parashoset al.2024VLDB 2024
What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian BenchmarksIrene KoPin-Yu Chenet al.2024ICML 2024
Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity TheoryKai XuHong Ge2024ICML 2024