https://github.com/cvxgrp/strat_models
A distributed method for fitting Laplacian regularized stratified models.
https://github.com/cvxgrp/rerm_code
Public code for Robust Empirical Risk Minimization Paper
https://github.com/cvxgrp/cvxbook_additional_exercises
Additional exercises and data for EE364a. No solutions; for public consumption.
https://github.com/cvxgrp/log_ccv_conf_int
confidence interval for log-concave density
https://github.com/cvxgrp/low_rank_forecasting_code
Code for "Low Rank Forecasting" paper.
https://github.com/cvxgrp/kelly_code
Code and examples for the project on risk-constrained Kelly gambling
https://github.com/cvxgrp/lfd_lqr
Code for "Fitting a Linear Control Policy to Demonstrations with a Kalman Constraint"
https://github.com/cvxgrp/nonexp_global_aa1
Globally Convergent Type-I Anderson Acceleration for Non-Smooth Fixed-Point Iterations
https://github.com/cvxgrp/multi_period_liability_clearing
Code for the paper "Multi-period liability clearing via convex optimal control"
https://github.com/cvxgrp/cptopt
Portfolio Optimization with Cumulative Prospect Theory Utility via Convex Optimization
https://github.com/cvxgrp/robust_bond_portfolio
Robust Bond Portfolio Construction via Convex-Concave Saddle Point Optimization
https://github.com/cvxgrp/opt_cap_res
Solves the problem of reserving link capacity in a network in such a way that any of a given set of flow scenarios can be supported.
https://github.com/cvxgrp/joint-lrsm
Joint graph learning and model fitting in Laplacian Regularized Stratified Models
https://github.com/cvxgrp/lr_distributed_routing
Approximate Distributed Routing via Low Dimensional Embedding