conftrace_

information gain

93 papers

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Also known as

IG

Co-occurring keywords

bayesian optimization (624) gaussian process (1200) active learning (1301) bayesian inference (1907) reinforcement learning (4352) regret bound (1926) acquisition function (129) large language model (13587) partially observable markov decision process (178) black-box optimization (183)

Papers

Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning EMNLP 2023
Active Velocity Estimation using Light Curtains via Self-Supervised Multi-Armed Bandits RSS 2023
Norm of Word Embedding Encodes Information Gain EMNLP 2023
Bregman Deviations of Generic Exponential Families COLT 2023
Information-Directed Selection for Top-Two Algorithms COLT 2023
Safe Optimal Design with Applications in Off-Policy Learning AISTATS 2022
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation NIPS 2022
Exploration via Planning for Information about the Optimal Trajectory NIPS 2022
INQUIRE: INteractive Querying for User-aware Informative REasoning CORL 2022
Learning Causal Overhypotheses through Exploration in Children and Computational Models CLEAR 2022
Gaussian Process Bandit Optimization with Few Batches AISTATS 2022
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization AISTATS 2022
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense ICML 2022
Random vs. Best-First: Impact of Sampling Strategies on Decision Making in Model-Based Diagnosis AAAI 2022
Joint Entropy Search for Multi-Objective Bayesian Optimization NIPS 2022
Joint Entropy Search For Maximally-Informed Bayesian Optimization NIPS 2022
Leveraging Capsule Routing to Associate Knowledge with Medical Literature Hierarchically EMNLP 2021
Selecting Informative Contexts Improves Language Model Fine-tuning IJCNLP 2021
Continual Learning via Bit-Level Information Preserving CVPR 2021
Active multi-fidelity Bayesian online changepoint detection UAI 2021
Inferring Time-delayed Causal Relations in POMDPs from the Principle of Independence of Cause and Mechanism IJCAI 2021
GIBBON: General-purpose Information-Based Bayesian Optimisation JMLR 2021
Selecting Informative Contexts Improves Language Model Fine-tuning ACL 2021
On Information Gain and Regret Bounds in Gaussian Process Bandits AISTATS 2021
Planning Multimodal Exploratory Actions for Online Robot Attribute Learning RSS 2021