Bregman
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'Terrible' Bregman shoulders blame for Cubs' woes
CHICAGO -- Cubs third baseman Alex Bregman put the blame for his team's offensive woes squarely on himself after going 0-for-5 and making the last out in his team's 2-1 loss in 10 innings to the San Francisco Giants on Sunday night. "I've been terrible," Bregman said. "I need to play better.
I Think Rutger Bregman and the School for Moral Ambition Are Full of Shit
Disclaimer: I'm just a random person on the internet and this article is my personal opinion. This article was written without AI. The first time I heard from Rutger Bregman was due to his remarks at Davos about taxing the billionaires.
Rethinking Bregman Divergences in Kronecker-Factored Optimizers
arXiv:2606.00542v2 Announce Type: replace Abstract: Shampoo-style optimizers approximate gradient covariance matrices using Kronecker-factored structures. Recent work~\cite{lin2026understanding} showed that such approximations can be viewed as projections under Bregman matrix divergences, leading to different Kronecker-factored preconditioners. However, it remains unclear what role the choice of divergence plays when the covariance is not exactly Kronecker-factored.
Bregman divergences and error control via convex duality
arXiv:2606.05088v1 Announce Type: new Abstract: Convex duality relations are a useful tool for deriving error estimates for challenging nonlinear and non-smooth variational problems. Applied at the continuous level they can deliver nonlinear analogues of the Prager-Synge a posteriori error identity, while at the discrete level they allow the derivation of minimal regularity a priori estimates. By leveraging elementary properties of Bregman divergences, we obtain three results on the error...
Bregman meets L\'evy: Stochastic mirror descent with heavy-tailed noise in continuous and discrete time
arXiv:2606.03769v1 Announce Type: cross Abstract: We study the robustness of stochastic mirror descent (SMD) under heavy-tailed noise, focusing on whether the method retains its convergence guarantees when run with infinite-variance stochastic gradient input. To address this question in a principled manner, we begin by introducing a continuous-time model of SMD as a stochastic differential equation (SDE) driven by a centered L\'evy noise process with finite $p$-th order moments, $1 < p \leq...
New Mexico governor primary includes Biden official Deb Haaland. See live results.
Latest New Mexico governor primary results as Sam Bregman, Deb Haaland, Gregg Hull, Duke Rodriguez and Doug Turner vie for nominations to replace Gov. Michelle Lujan Grisham.
Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling
arXiv:2502.15131v4 Announce Type: replace-cross Abstract: We study the fundamental problem of calibrating a linear binary classifier of the form $\sigma(\hat{w}^\top x)$, where the feature vector $x$ is Gaussian, $\sigma$ is a link function, and $\hat{w}$ is an estimator of the true linear weight $w^\star$. By interpolating with a noninformative $\textit{chance classifier}$, we construct a well-calibrated predictor whose interpolation weight depends on the angle $\angle(\hat{w}, w_\star)$...
Democratic battles and incumbents on defense: What to watch in Tuesday’s primaries
The fight to shape the future of the Democratic Party is playing out in a slew of key primaries across six states Tuesday, as races across six states set the matchups in crucial November battlegrounds and settle personal and ideological battles across the country. Voters will head to the polls in California, Iowa, Montana, New Jersey, New Mexico and South Dakota, with the biggest contest of the night being California’s race to succeed Gov. Gavin Newsom. California has a slew of important...
Former Interior Secretary Deb Haaland wins Democratic nomination in New Mexico governor’s race
Former Interior Secretary Deb Haaland has won the Democratic primary in New Mexico’s race for governor, NBC News projects. Haaland enters the general election to succeed term-limited Democrat Michelle Lujan Grisham as the front-runner in a state where no Republicans hold statewide office. If she is elected this fall, she would become the first Native American woman to serve as governor.
Modeling and Optimization for Massive Data Allocation in Database
new Abstract: In the era of big data, e-commerce and Internet platforms face the challenge of processing massive amounts of data. However, due to data being scattered across different machines in distributed database, extra communication costs are incurred in gathering relevant data to complete transactions. Without a carefully designed data placement scheme, this cost can severely impact the performance of Online Transaction Processing systems.