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08/03/2023
Hard Adversarial Example Mining for Improving Robust Fairness
Adversarial training (AT) is widely considered the state-of-the-art tech...
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07/24/2023
Provable Benefits of Policy Learning from Human Preferences in Contextual Bandit Problems
A crucial task in decision-making problems is reward engineering. It is ...
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07/03/2023
Cross-modal Place Recognition in Image Databases using Event-based Sensors
Visual place recognition is an important problem towards global localiza...
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05/24/2023
Regret-Optimal Model-Free Reinforcement Learning for Discounted MDPs with Short Burn-In Time
A crucial problem in reinforcement learning is learning the optimal poli...
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03/23/2023
Random-effects substitution models for phylogenetics via scalable gradient approximations
Phylogenetic and discrete-trait evolutionary inference depend heavily on...
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03/08/2023
Many-core algorithms for high-dimensional gradients on phylogenetic trees
The rapid growth in genomic pathogen data spurs the need for efficient i...
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11/21/2022
Blur Interpolation Transformer for Real-World Motion from Blur
This paper studies the challenging problem of recovering motion from blu...
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11/09/2022
TreeFlow: probabilistic programming and automatic differentiation for phylogenetics
Probabilistic programming frameworks are powerful tools for statistical ...
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10/07/2022
Iterative Methods at Lower Precision
Since numbers in the computer are represented with a fixed number of bit...
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06/06/2022
Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks
We consider the off-policy evaluation problem of reinforcement learning ...
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04/03/2022
Neural Global Shutter: Learn to Restore Video from a Rolling Shutter Camera with Global Reset Feature
Most computer vision systems assume distortion-free images as inputs. Th...
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01/31/2022
Optimal Estimation of Off-Policy Policy Gradient via Double Fitted Iteration
Policy gradient (PG) estimation becomes a challenge when we are not allo...
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01/18/2022
Hamiltonian zigzag accelerates large-scale inference for conditional dependencies between complex biological traits
Inferring dependencies between complex biological traits while accountin...
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10/25/2021
Scalable Bayesian divergence time estimation with ratio transformations
Divergence time estimation is crucial to provide temporal signals for da...
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05/15/2021
Shrinkage-based random local clocks with scalable inference
Local clock models propose that the rate of molecular evolution is const...
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03/03/2021
From viral evolution to spatial contagion: a biologically modulated Hawkes model
Mutations sometimes increase contagiousness for evolving pathogens. Duri...
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02/06/2021
Bootstrapping Statistical Inference for Off-Policy Evaluation
Bootstrapping provides a flexible and effective approach for assessing t...
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10/20/2020
PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval
Recently pre-trained language representation models such as BERT have sh...
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10/06/2020
Bayesian mitigation of spatial coarsening for a fairly flexible spatiotemporal Hawkes model
Self-exciting spatiotemporal Hawkes processes have found increasing use ...
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08/21/2020
Urban Bike Lane Planning with Bike Trajectories: Models, Algorithms, and a Real-World Case Study
We study an urban bike lane planning problem based on the fine-grained b...
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04/20/2020
VOC-ReID: Vehicle Re-identification based on Vehicle-Orientation-Camera
Vehicle re-identification is a challenging task due to high intra-class ...
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02/21/2020
TLFW: A Three-layer Framework in Wireless Rechargeable Sensor Network with a Mobile Base Station
Wireless sensor networks as the base support for the Internet of things ...
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12/19/2019
Large-scale inference of correlation among mixed-type biological traits with Phylogenetic multivariate probit models
Inferring concerted changes among biological traits along an evolutionar...
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06/11/2019
Relaxed random walks at scale
Relaxed random walk (RRW) models of trait evolution introduce branch-spe...
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05/29/2019
Gradients do grow on trees: a linear-time O( N )-dimensional gradient for statistical phylogenetics
Calculation of the log-likelihood stands as the computational bottleneck...
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05/24/2019
MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching
Text matching is the core problem in many natural language processing (N...
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02/28/2019