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02/06/2023
RLSbench: Domain Adaptation Under Relaxed Label Shift
Despite the emergence of principled methods for domain adaptation under ...
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09/19/2022
Exponential Family Trend Filtering on Lattices
Trend filtering is a modern approach to nonparametric regression that is...
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06/05/2021
Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms
The stochastic contextual bandit problem, which models the trade-off bet...
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06/05/2021
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks
Stochastic linear contextual bandit algorithms have substantial applicat...
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06/07/2020
An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling
We consider the contextual bandit problem, where a player sequentially m...
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02/13/2020
Multiscale Non-stationary Stochastic Bandits
Classic contextual bandit algorithms for linear models, such as LinUCB, ...
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11/21/2019
Unsupervised Object Segmentation with Explicit Localization Module
In this paper, we propose a novel architecture that iteratively discover...
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08/15/2019
Temporal Collaborative Ranking Via Personalized Transformer
The collaborative ranking problem has been an important open research qu...
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05/29/2019
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering
In this paper, we consider recommender systems with side information in ...
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05/25/2019
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
In deep neural nets, lower level embedding layers account for a large po...
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02/06/2019
Weak consistency of the 1-nearest neighbor measure with applications to missing data and covariate shift
When data is partially missing at random, imputation and importance weig...
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07/31/2018
Adaptive Non-Parametric Regression With the K-NN Fused Lasso
The fused lasso, also known as total-variation denoising, is a locally-a...
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05/25/2018
Distributed Cartesian Power Graph Segmentation for Graphon Estimation
We study an extention of total variation denoising over images to over C...
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05/08/2018
Fused Density Estimation: Theory and Methods
In this paper we introduce a method for nonparametric density estimation...
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02/28/2018
SQL-Rank: A Listwise Approach to Collaborative Ranking
In this paper, we propose a listwise approach for constructing user-spec...
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02/23/2018
Estimating Graphlet Statistics via Lifting
Exploratory analysis over network data is often limited by our ability t...
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02/16/2018
Learning Patterns for Detection with Multiscale Scan Statistics
This paper addresses detecting anomalous patterns in images, time-series...
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10/28/2014
Trend Filtering on Graphs
We introduce a family of adaptive estimators on graphs, based on penaliz...
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12/11/2013
Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic
The detection of anomalous activity in graphs is a statistical problem t...
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05/01/2013
Recovering Graph-Structured Activations using Adaptive Compressive Measurements
We study the localization of a cluster of activated vertices in a graph,...
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05/21/2012
