1 code implementation • 1 Jan 2024 • Mahek Vora, Tom Blau, Vansh Kachhwal, Ashu M. G. Solo, Rohitash Chandra
Sentiment analysis provides a mechanism to study the emotions expressed in text.
no code implementations • 29 May 2023 • Tom Blau, Iadine Chades, Amir Dezfouli, Daniel Steinberg, Edwin V. Bonilla
We propose the use of an alternative estimator based on the cross-entropy of the joint model distribution and a flexible proposal distribution.
1 code implementation • 1 Aug 2022 • Rohitash Chandra, Chaarvi Bansal, Mingyue Kang, Tom Blau, Vinti Agarwal, Pranjal Singh, Laurence O. W. Wilson, Seshadri Vasan
This paper presents a framework that utilizes unsupervised machine learning methods to discriminate and visualize the associations between major COVID-19 variants based on their genome sequences.
1 code implementation • 2 Feb 2022 • Tom Blau, Edwin V. Bonilla, Iadine Chades, Amir Dezfouli
Bayesian approaches developed to solve the optimal design of sequential experiments are mathematically elegant but computationally challenging.
1 code implementation • 17 Jun 2021 • Tom Blau, Gilad Francis, Philippe Morere
To address this shortcoming, we propose Probabilistic Planning for Demonstration Discovery (P2D2), a technique for automatically discovering demonstrations without access to an expert.
no code implementations • 20 Jan 2020 • Philippe Morere, Gilad Francis, Tom Blau, Fabio Ramos
Balancing exploration and exploitation remains a key challenge in reinforcement learning (RL).
1 code implementation • 20 Nov 2019 • Tom Blau, Lionel Ott, Fabio Ramos
Balancing exploration and exploitation is a fundamental part of reinforcement learning, yet most state-of-the-art algorithms use a naive exploration protocol like $\epsilon$-greedy.