conftrace_

importance sampling

318 papers

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Also known as

IS

Co-occurring keywords

off-policy evaluation (144) variational inference (2069) variance reduction (523) reinforcement learning (4352) markov chain monte carlo (725) bayesian inference (1907) stochastic optimization (1060) off-policy learning (228) monte carlo method (126) policy optimization (657)

Papers

Best Arm Identification with Biased Contexts AAAI 2026
Efficient Hallucination Detection: Adaptive Bayesian Estimation of Semantic Entropy with Guided Semantic Exploration AAAI 2026
From log 𝜋 to 𝜋: Taming Divergence in Soft Clipping via Bilateral Decoupled Decay of Probability Gradient Weight ACL 2026
Efficient KL Divergence Estimation via Truncated Top-K Integration for Large Language Models ACL 2026
Offline Fictitious Self-Play for Competitive Games AAAI 2026
Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations AAAI 2025
DONIS: Importance Sampling for Training Physics-Informed DeepONet IJCAI 2025
ATLANTIS: Weak-to-Strong Learning via Importance Sampling ACL 2025
Sparse Logit Sampling: Accelerating Knowledge Distillation in LLMs ACL 2025
Boosting Test Performance with Importance Sampling--a Subpopulation Perspective AAAI 2025
Length Controlled Generation for Black-box LLMs ACL 2025
RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories CVPR 2025
Information-Theoretic Generative Clustering of Documents AAAI 2025
Improved Noise Schedule for Diffusion Training ICCV 2025
Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows AAAI 2025
TensoFlow: Tensorial Flow-based Sampler for Inverse Rendering CVPR 2025
Error-aware Sampling in Adaptive Shells for Neural Surface Reconstruction IJCAI 2024
Submodular Minimax Optimization: Finding Effective Sets AISTATS 2024
Importance Matching Lemma for Lossy Compression with Side Information AISTATS 2024
GGD: Grafting Gradient Descent JMLR 2024
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment JMLR 2024
Local and Adaptive Mirror Descents in Extensive-Form Games NIPS 2024
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias AISTATS 2024
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning NIPS 2024
Probabilistic Modeling for Sequences of Sets in Continuous-Time AISTATS 2024