conftrace_

monte carlo estimation

35 papers

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Also known as

MCE

Co-occurring keywords

variance reduction (523) variational inference (2069) reinforcement learning (4352) monte carlo estimator (15) importance sampling (318) monte carlo method (126) large language model (13587) gradient estimation (150) natural gradient (75) mean squared error (69)

Papers

LLM-MC-Affect: LLM-Based Monte Carlo Modeling of Affective Trajectories and Latent Ambiguity for Interpersonal Dynamic Insight ACL 2026
Enhancing Logical Reasoning in Language Models via Symbolically-Guided Monte Carlo Process Supervision EMNLP 2025
The Lessons of Developing Process Reward Models in Mathematical Reasoning ACL 2025
Dyve: Thinking Fast and Slow for Dynamic Process Verification EMNLP 2025
How Well Does First-Token Entropy Approximate Word Entropy as a Psycholinguistic Predictor? AACL 2025
StochasticSplats: Stochastic Rasterization for Sorting-Free 3D Gaussian Splatting ICCV 2025
How Well Does First-Token Entropy Approximate Word Entropy as a Psycholinguistic Predictor? IJCNLP 2025
Differentiable Rendering with Reparameterized Volume Sampling AISTATS 2024
Fearless Stochasticity in Expectation Propagation NIPS 2024
One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently NIPS 2024
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples ICML 2023
Can Large Language Models Capture Dissenting Human Voices? EMNLP 2023
Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence JMLR 2023
Query-Based Hard-Image Retrieval for Object Detection at Test Time AAAI 2023
Markovian Sliced Wasserstein Distances: Beyond Independent Projections NIPS 2023
Plateau-Reduced Differentiable Path Tracing CVPR 2023
A unified view of likelihood ratio and reparameterization gradients AISTATS 2021
Independence-aware Advantage Estimation IJCAI 2021
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding ICML 2021
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables ICML 2021
Amortized variance reduction for doubly stochastic objective UAI 2020
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models ICML 2020
Data Shapley: Equitable Valuation of Data for Machine Learning ICML 2019
Orthogonal Estimation of Wasserstein Distances AISTATS 2019
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation NIPS 2019