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02/27/2023
Revisiting Self-Training with Regularized Pseudo-Labeling for Tabular Data
Recent progress in semi- and self-supervised learning has caused a rift ...
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05/31/2022
Optimal Activation Functions for the Random Features Regression Model
The asymptotic mean squared test error and sensitivity of the Random Fea...
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09/05/2020
Distributed Optimization, Averaging via ADMM, and Network Topology
There has been an increasing necessity for scalable optimization methods...
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02/24/2020
Variational Wasserstein Barycenters for Geometric Clustering
We propose to compute Wasserstein barycenters (WBs) by solving for Monge...
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01/29/2020
Multi-Marginal Optimal Transport Defines a Generalized Metric
We prove that the multi-marginal optimal transport (MMOT) problem define...
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08/22/2019
Exact inference under the perfect phylogeny model
Motivation: Many inference tools use the Perfect Phylogeny Model (PPM) t...
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11/03/2018
Efficient Projection onto the Perfect Phylogeny Model
Several algorithms build on the perfect phylogeny model to infer evoluti...
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07/11/2018
Genome-scale estimation of cellular objectives
Cellular metabolism is predicted accurately at the genome-scale using co...
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07/09/2018
How should we (correctly) compare multiple graphs?
Graphs are used in almost every scientific discipline to express relatio...
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07/09/2018
n-metrics for multiple graph alignment
The work of Ioannidis et al. 2018 introduces a family of distances betwe...
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01/15/2018
On the Complexity of the Weighted Fused Lasso
The solution path of the 1D fused lasso for an n-dimensional input is pi...
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01/15/2018
On the Complexity of the Weighted Fussed Lasso
The solution path of the 1D fused lasso for an n-dimensional input is pi...
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01/13/2018
An Explicit Convergence Rate for Nesterov's Method from SDP
The framework of Integral Quadratic Constraints (IQC) introduced by Less...
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01/12/2018
A Family of Tractable Graph Distances
Important data mining problems such as nearest-neighbor search and clust...
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10/02/2017
How is Distributed ADMM Affected by Network Topology?
When solving consensus optimization problems over a graph, there is ofte...
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03/10/2017
Tuning Over-Relaxed ADMM
The framework of Integral Quadratic Constraints (IQC) reduces the comput...
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03/10/2017
Markov Chain Lifting and Distributed ADMM
The time to converge to the steady state of a finite Markov chain can be...
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02/25/2017
Generative Adversarial Active Learning
We propose a new active learning by query synthesis approach using Gener...
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03/08/2016
Testing fine-grained parallelism for the ADMM on a factor-graph
There is an ongoing effort to develop tools that apply distributed compu...
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01/12/2016
A metric for sets of trajectories that is practical and mathematically consistent
Metrics on the space of sets of trajectories are important for scientist...
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12/07/2015
An Explicit Rate Bound for the Over-Relaxed ADMM
The framework of Integral Quadratic Constraints of Lessard et al. (2014)...
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05/12/2015
The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning
We describe a new instance-based learning algorithm called the Boundary ...
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04/07/2015
Proximal operators for multi-agent path planning
We address the problem of planning collision-free paths for multiple age...
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11/18/2013
A message-passing algorithm for multi-agent trajectory planning
We describe a novel approach for computing collision-free global traject...
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05/08/2013
An Improved Three-Weight Message-Passing Algorithm
We describe how the powerful "Divide and Concur" algorithm for constrain...
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07/26/2012
Identifying Users From Their Rating Patterns
This paper reports on our analysis of the 2011 CAMRa Challenge dataset (...
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10/08/2011
On the trade-off between complexity and correlation decay in structural learning algorithms
We consider the problem of learning the structure of Ising models (pairw...
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03/09/2011
Information Theoretic Limits on Learning Stochastic Differential Equations
Consider the problem of learning the drift coefficient of a stochastic d...
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10/30/2009