Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods
- Isha Puri
- Shivchander Sudalairaj
- et al.
- 2025
- NeurIPS 2025
Conference paper
Publications
15 results for Akash Srivastava
A Probabilistic Framework for Modular Continual Learning
- Lazar Valkov
- Akash Srivastava
- et al.
- 2024
- ICLR 2024
Conference paperCuriosity-driven Red-teaming for Large Language Models
- Zhang-wei Hong
- Idan Shenfeld
- et al.
- 2024
- ICLR 2024
Conference paperTowards robust and generalizable representations of extracellular data using contrastive learning
- Ankit Vishnubhotla
- Charlotte Loh
- et al.
- 2023
- NeurIPS 2023
Conference paperAnalyzing Generalization of Neural Networks through Loss Path Kernels
- Yilan Chen
- Wei Huang
- et al.
- 2023
- NeurIPS 2023
Conference paperBeyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
- Zhang-wei Hong
- Aviral Kumar
- et al.
- 2023
- NeurIPS 2023
Conference paperAligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
- Giorgio Giannone
- Akash Srivastava
- et al.
- 2023
- NeurIPS 2023
Conference paperIdentifiability Guarantees for Causal Disentanglement from Soft Interventions
- Jiaqi Zhang
- Kristjan Greenewald
- et al.
- 2023
- NeurIPS 2023
PosterPost-processing Private Synthetic Data for Improving Utility on Selected Measures
- 2023
- NeurIPS 2023
PosterCompositional Foundation Models for Hierarchical Planning
- Anurag Ajay
- Seungwook Han
- et al.
- 2023
- NeurIPS 2023
Workshop paper