https://openreview.net/forum?id=V9C0cuEWbR&referrer=%5Bthe%20profile%20of%20Tanmay%20Gautam%5D(%2Fprofile%3Fid%3D~Tanmay_Gautam1)
Vector Quantization (VQ) is a well-known technique in deep learning for extracting informative discrete latent representations. VQ-embedded models have shown...
softconvexquantizationvectoroptimization
https://link.springer.com/book/10.1007/978-3-658-29149-5?error=cookies_not_supported&code=95938d60-fd45-41e3-b93c-047748a2c1d2
This book introduces a branch-and-bound algorithm that determines a cover of the efficient set of multiobjective mixed-integer convex optimization problems....
branch and boundalgorithmmixedintegerconvex
https://www.coursera.org/courses?query=convex+optimization&authMode=signup
Convex Optimization courses from top universities and industry leaders. Learn Convex Optimization online with courses like Operations Research and Operations...
convex optimizationtopcourseslearnonline
https://deepai.org/publication/distributed-projected-subgradient-method-for-weakly-convex-optimization
04/28/20 - The stochastic subgradient method is a widely-used algorithm for solving large-scale optimization problems arising in machine lear...
subgradient methodconvex optimizationdistributedprojected
https://deepai.org/publication/safe-online-convex-optimization-with-unknown-linear-safety-constraints
11/14/21 - We study the problem of safe online convex optimization, where the action at each time step must satisfy a set of linear safety co...
online convex optimizationsafeunknownlinearconstraints
https://deepai.org/publication/private-stochastic-convex-optimization-with-optimal-rates
08/27/19 - We study differentially private (DP) algorithms for stochastic convex optimization (SCO). In this problem the goal is to approxima...
convex optimizationprivatestochasticoptimalrates
https://openreview.net/forum?id=CTDMJwMZ3K2&referrer=%5Bthe%20profile%20of%20Sebastien%20Bubeck%5D(%2Fprofile%3Fid%3D~Sebastien_Bubeck1)
We propose a near-optimal method for highly smooth convex optimization. More precisely, in the oracle model where one obtains the pth order Taylor expansion of...
convex optimizationnearoptimalmethodhighly
https://openreview.net/forum?id=hMxlumpguU&referrer=%5Bthe%20profile%20of%20Luo%20Luo%5D(%2Fprofile%3Fid%3D~Luo_Luo1)
Bilevel optimization is pivotal in machine learning applications such as hyperparameter tuning and adversarial training. While existing methods for...
first orderbilevel optimizationacceleratingmethodsnonconvex
https://edubirdie.com/docs/massachusetts-institute-of-technology/6-253-convex-analysis-and-optimization
Ace 6.253 | Convex Analysis and Optimization with Massachusetts Institute of Technology's study guides and lecture notes. Find them on Edubirdie.
convex analysisoptimizationnotesmassachusettsinstitute