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09/15/2022
Unsupervised Opinion Summarization Using Approximate Geodesics
Opinion summarization is the task of creating summaries capturing popula...
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10/19/2021
When in Doubt, Summon the Titans: Efficient Inference with Large Models
Scaling neural networks to "large" sizes, with billions of parameters, h...
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06/14/2021
Hierarchically Regularized Deep Forecasting
Hierarchical forecasting is a key problem in many practical multivariate...
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04/14/2021
Exact and Approximate Hierarchical Clustering Using A*
Hierarchical clustering is a critical task in numerous domains. Many app...
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12/15/2020
Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization
Tuning complex machine learning systems is challenging. Machine learning...
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12/15/2020
Amazon SageMaker Autopilot: a white box AutoML solution at scale
AutoML systems provide a black-box solution to machine learning problems...
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12/01/2020
Non-Stationary Latent Bandits
Users of recommender systems often behave in a non-stationary fashion, d...
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10/22/2020
Scalable Bottom-Up Hierarchical Clustering
Bottom-up algorithms such as the classic hierarchical agglomerative clus...
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09/15/2020
Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes
High-quality dialogue-summary paired data is expensive to produce and do...
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07/28/2020
Big Bird: Transformers for Longer Sequences
Transformers-based models, such as BERT, have been one of the most succe...
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06/15/2020
Latent Bandits Revisited
A latent bandit problem is one in which the learning agent knows the arm...
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06/15/2020
Piecewise-Stationary Off-Policy Optimization
Off-policy learning is a framework for evaluating and optimizing policie...
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03/18/2020
Anchor Transform: Learning Sparse Representations of Discrete Objects
Learning continuous representations of discrete objects such as text, us...
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11/30/2017
State Space LSTM Models with Particle MCMC Inference
Long Short-Term Memory (LSTM) is one of the most powerful sequence model...
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12/06/2015
Explaining reviews and ratings with PACO: Poisson Additive Co-Clustering
Understanding a user's motivations provides valuable information beyond ...
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10/21/2015
High Performance Latent Variable Models
Latent variable models have accumulated a considerable amount of interes...
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12/31/2014
ACCAMS: Additive Co-Clustering to Approximate Matrices Succinctly
Matrix completion and approximation are popular tools to capture a user'...
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03/15/2012
Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream
Topic models have proven to be a useful tool for discovering latent stru...
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12/30/2009