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04/12/2023
Boosted Prompt Ensembles for Large Language Models
Methods such as chain-of-thought prompting and self-consistency have pus...
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12/07/2022
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve
Variational autoencoders (VAEs) are powerful tools for learning latent r...
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10/27/2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
Deep Reinforcement Learning (RL) is successful in solving many complex M...
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04/28/2021
Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization
Standard dynamics models for continuous control make use of feedforward ...
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04/22/2021
Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes
Linear interpolation between initial neural network parameters and conve...
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03/30/2021
Benchmarks for Deep Off-Policy Evaluation
Off-policy evaluation (OPE) holds the promise of being able to leverage ...
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01/27/2020
Objective Social Choice: Using Auxiliary Information to Improve Voting Outcomes
How should one combine noisy information from diverse sources to make an...
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07/19/2019
