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07/01/2023
Fast, Smooth, and Safe: Implicit Control Barrier Functions through Reach-Avoid Differential Dynamic Programming
Safety is a central requirement for autonomous system operation across d...
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05/05/2023
Transformer Working Memory Enables Regular Language Reasoning and Natural Language Length Extrapolation
Unlike recurrent models, conventional wisdom has it that Transformers ca...
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06/15/2022
Training Discrete Deep Generative Models via Gapped Straight-Through Estimator
While deep generative models have succeeded in image processing, natural...
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05/20/2022
KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation
Relative positional embeddings (RPE) have received considerable attentio...
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12/22/2021
ProBF: Learning Probabilistic Safety Certificates with Barrier Functions
Safety-critical applications require controllers/policies that can guara...
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10/06/2021
Explaining Off-Policy Actor-Critic From A Bias-Variance Perspective
Off-policy Actor-Critic algorithms have demonstrated phenomenal experime...
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06/19/2021
DiffLoop: Tuning PID controllers by differentiating through the feedback loop
Since most industrial control applications use PID controllers, PID tuni...
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10/11/2020
Safe Reinforcement Learning with Natural Language Constraints
In this paper, we tackle the problem of learning control policies for ta...
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10/07/2020
Projection-Based Constrained Policy Optimization
We consider the problem of learning control policies that optimize a rew...
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09/18/2020
A Contraction Approach to Model-based Reinforcement Learning
Model-based Reinforcement Learning has shown considerable experimental s...
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06/20/2020
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies
We consider the problem of reinforcement learning when provided with a b...
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02/27/2020
The Landscape of Matrix Factorization Revisited
We revisit the landscape of the simple matrix factorization problem. For...
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09/25/2019
Model Imitation for Model-Based Reinforcement Learning
Model-based reinforcement learning (MBRL) aims to learn a dynamic model ...
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11/28/2018
Shared Representational Geometry Across Neural Networks
Different neural networks trained on the same dataset often learn simila...
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09/29/2016
A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis
There is a growing interest in joint multi-subject fMRI analysis. The ch...
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08/21/2016
The Symmetry of a Simple Optimization Problem in Lasso Screening
Recently dictionary screening has been proposed as an effective way to i...
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08/21/2016
Feedback-Controlled Sequential Lasso Screening
One way to solve lasso problems when the dictionary does not fit into av...
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08/17/2016
A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation
Finding the most effective way to aggregate multi-subject fMRI data is a...
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08/16/2016
Enabling Factor Analysis on Thousand-Subject Neuroimaging Datasets
The scale of functional magnetic resonance image data is rapidly increas...
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05/19/2014
Screening Tests for Lasso Problems
This paper is a survey of dictionary screening for the lasso problem. Th...
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09/10/2012