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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About Me
About me
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Posts
Future Blog Post
Published:
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
preprints
Accelerating Continuous Variable Coherent Ising Machines via Momentum
Published:
We integrate Adam and momentume optimizers with the continuous variable Coherent Ising Machine (CV-CIM) dynamical solver. We show that both optimization techniques can improve the convergence speed and sample diversity of the CV-CIM, while Adam improves the stability of the resulting system
Available here
publications
Exploiting Locality and Structure for Distributed Optimization in Multi-Agent Systems
Published in European Control Conference, 2020
We develop a rigorous measure of “locality” that relates the structural properties of a linearly-constrained convex optimization problem to the amount of information that agents should exchange to compute an arbitrarily high-quality approximation of its solution. We leverage the notion of locality to develop a locality-aware distributed optimization algorithm.
Available here
On Local Computation for Network-Structured Convex Optimization in Multi-Agent Systems
Published in IEEE Transactions on Control of Network Systems, 2021
We extend our prior work by providing tighter bounds on the locality of problems through the conjugate-gradient algorithm, allowing the decay results to be applied to all linearly constrained strongly convex optimization problems.
Available here
A Unified View of SDP-based Neural Network Verification through Completely Positive Programming
Published in Int. Conf. on Artificial Intelligence and Statistics, 2022
We unify several SDP relaxations for ReLU neural network verification by providing an exact convex formulation as a completely-positive program. This provides a path for relaxations that systematically trade off tightness and efficiency.
Available here
A Copositive Framework for Analysis of Hybrid Ising-Classical Algorithms
Published in SIAM Journal of Optimization, 2023
We present a formal analysis of hybrid algorithms in the context of solving mixed-binary quadratic programs (MBQP) via Ising solvers. We leverage copositive optimization and cutting-plane algorithms to derive an algorithm that provable shifts complexity onto the subroutine handled by the Ising solver.
Available here
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Cooking Basics Permalink
California Institute of Technology, 2015 - 2018
Markov Chains, Discrete Stochastic Processes, and Applications (ACM216) Permalink
California Institute of Technology, 2018
Introductory Methods of Applied Mathematics for the Physical Sciences (ACM95/100) Permalink
California Institute of Technology, 2018
Distributed Optimization and Algorithms (CME323) Permalink
Stanford University, 2020
Principles of Robot Autonomy I (AA274A) Permalink
Stanford University, 2021