“I’m planning to deploy a novel hydrogen production system in 2026 and instrument it extensively to test whether hard-constrained PINNs can optimize complex, nonlinear industrial processes in closed-loop control.”

“Confer is designed to look and feel like ChatGPT or Claude, but your conversations can't be used for training or advertising.”

“I built an evidence-first pipeline where: Content is generated only from a curated KB; Retrieval is chunk-level with reranking; Every important sentence has a clickable citation → click opens the source”

“Next time Claude asks for permission, you'll hear a friendly "moo" 🐄”

“Article URL: http://mpaxos.com/blog/rusty-cpp.html”

“DeepSeek solved the instability by constraining the learnable matrices to be "Double Stochastic" (all elements ≧ 0, rows/cols sum to 1). Mathematically, this forces the operation to act as a weighted average (convex combination). It guarantees that signals are never amplified beyond control, regardless of network depth.”

“The author states, "This is my first time using Claude to write an entire app from scratch, and honestly I'm very impressed with Opus 4.5. It is excellent at planning, coding, debugging, and testing."”

“AdaGReS introduces a closed-form, instance-adaptive calibration of the relevance-redundancy trade-off parameter to eliminate manual tuning and adapt to candidate-pool statistics and budget limits.”

“The paper introduces the semi-overlapping multi-(multi-armed) bandit (SOMMAB), in which a single evaluation provides distinct feedback to multiple bandits due to structural overlap among their arms.”

“MSACL achieves exponential stability and rapid convergence under simple rewards, while exhibiting significant robustness to uncertainties and generalization to unseen trajectories.”

“The method effectively suppresses spectral pollution and resolves closely spaced spectral components.”

“RCS traces acceptance probability to tolerate extreme adversarial behaviors, improving robustness. RCS also eliminates the need for abstention entirely.”

“The paper provides the first non-vacuous guarantees in high-dimensional sparse MDPs with single-policy concentrability coverage and corruption, showing that learning a near-optimal policy remains possible in regimes where traditional robust offline RL techniques may fail.”

“The paper establishes the consistency of the QMLE and derives its asymptotic distribution, and proposes a bias-corrected estimator.”

“Stochastic optimization, as a powerful tool, can be leveraged to effectively address these problems.”

“MP-Jacobi couples min-sum message passing with Jacobi block updates, enabling parallel updates and single-hop communication.”

“The paper presents the first resource-adaptive distributed bilevel optimization framework with a second-order free hypergradient estimator.”

“The paper introduces two efficient dynamic programming algorithms that leverage this sequential structure.”

“The Bayesian DP algorithm alternates between posterior updates and value iteration, employing an estimator for the risk-based Bellman operator that combines Monte Carlo sampling with convex optimization.”

“The paper introduces Energy-Aware Bayesian-CBFs (EB-CBFs) that construct conservative energy-based barriers directly from the Hamiltonian and vector-field posteriors, yielding safety filters that minimally modify a nominal controller while providing probabilistic energy safety guarantees.”

“The paper proposes a novel sparse-penalization framework for high-dimensional Pconf classification.”

“The paper's key finding is the development of a semiparametric framework for debiased inverse reinforcement learning that yields statistically efficient inference for a broad class of reward-dependent functionals.”

“The analysis reveals how tracking error in the attitude loop influences the position loop, how model uncertainties affect the closed-loop system, and the practical pitfalls of the control architecture.”

“OptiVote integrates sign stochastic gradient descent (signSGD) with a majority-vote (MV) aggregation principle and pulse-position modulation (PPM), where each satellite conveys local gradient signs by activating orthogonal PPM time slots.”

“The methodology works when the outliers lie outside the main data cloud as well as inside the data cloud.”

“The modular reduction allows us to exploit any SLC sampling algorithm in order to traverse the backwards path, and we establish novel guarantees with short proofs for both uni-modal and multi-modal densities.”

“The paper proposes two original algorithms: a generic polynomial-time sequential algorithm with theoretical guarantees and an extension of the General Yankee Swap.”

“Random multiplexing achieves statistical fading-channel ergodicity for transmitted signals by constructing an equivalent input-isotropic channel matrix in the random transform domain.”

“The algorithm exhibits an iteration complexity that matches the best known complexity result for obtaining an (ε₁,ε₂,0)-stationary point when h is Lipschitz.”

“The paper establishes $ ilde{O}(\varepsilon^{-2})$ and $O(\varepsilon^{-2})$ sample complexities for achieving average-time and last-iterate $\varepsilon$-optimality, respectively.”

“GCA losses are $H$-consistent for any hypothesis set that is bounded or complete, with $H$-consistency bounds that scale more favorably as $1/\sqrt{\mathsf p_{\min}}$, offering significantly stronger theoretical guarantees in imbalanced settings.”

“The paper formalizes LDA search as an optimal stopping problem and provides an adaptive stopping algorithm that yields a high-probability upper bound on the gains achievable from a continued search.”

“The paper introduces stationary-reweighted soft FQI, which reweights each regression update using the stationary distribution of the current policy. It proves local linear convergence under function approximation with geometrically damped weight-estimation errors.”

“The paper establishes upper bounds on the suboptimality gap in both offline and online settings for private and robust alignment.”

“The authors propose a simple fix: reweight each regression step using an estimate of the stationary density ratio, thereby aligning FQE with the norm in which the Bellman operator contracts.”

“Bellman calibration requires that states with similar predicted long-term returns exhibit one-step returns consistent with the Bellman equation under the target policy.”

“The paper proposes I-PERI, a novel federated algorithm that first recovers the CPDAG of the union of client graphs and then orients additional edges by exploiting structural differences induced by interventions across clients.”

“DSC models the weight update as a residual trajectory within a Star-Shaped Domain, employing a Magnitude-Gated Simplex Interpolation to ensure continuity at the identity.”

“The paper demonstrates that the topology of a submanifold can be recovered with high confidence by sampling a sufficiently large number of random points.”

“FedORA formulates the removal of certain samples or labels as a constrained optimization problem solved using a primal-dual framework.”

“The paper presents an alternating projected gradient descent and minimization algorithm for recovering a low-rank feature matrix in a diffusion-based decentralized and federated fashion.”

“DCEN consistently outperforms state-of-the-art methods in sparse signal recovery, high-dimensional variable selection under strong collinearity, and Magnetic Resonance Imaging (MRI) image reconstruction, achieving superior recovery accuracy and robustness.”

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“The paper proposes Trust Region Masking (TRM), which excludes entire sequences from gradient computation if any token violates the trust region, providing the first non-vacuous monotonic improvement guarantees for long-horizon LLM-RL.”

“OLS can withstand up to $k \ll \sqrt{np}/\log n$ sample removals while remaining robust and achieving the same error rate.”

“The article likely presents a novel approach to verifying LLMs using formal methods.”

“The paper introduces new surrogate losses and proves strong non-asymptotic, hypothesis set-specific consistency guarantees, resolving existing open questions.”

“The paper establishes tight distribution-dependent and -independent bounds for binary classification and extends these bounds to multi-class classification, including adversarial scenarios.”

“The V2 model converges with high probability ($P_{\mathrm{succ}} \approx 1$) to an image precisely satisfying the tomographic data.”

“OptiNIC improves time-to-accuracy (TTA) by 2x and increases throughput by 1.6x for training and inference, respectively.”