“If I learn DSA, HLD/LLD on my own, would it take a lot of time or could I be ready in a few months?”

“If I learn DSA, HLD/LLD on my own, would it take a lot of time (one or more years) or could I be ready in a few months?”

“Now, I am looking for good resources to really dive into this field.”

“The first coding question relates parsing data, data transformations, getting statistics about the data. The second (ML) coding involves ML concepts, LLMs, and debugging.”

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“When deception was suppressed, models reported they were conscious. When the ability to lie was enhanced, they went back to reporting official corporate disclaimers.”

“I'm looking for resources to study the following: -statistics and probability -calculus (for applications like optimization, gradients, and understanding models) ... I don't want to study the entire math courses, just what is necessary for AI/ML.”

“Hey all, I recently launched a set of interactive math modules on tensortonic.com focusing on probability and statistics fundamentals. I’ve included a couple of short clips below so you can see how the interactives behave. I’d love feedback on the clarity of the visuals and suggestions for new topics.”

“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 orthant normal distribution in its general form and shows how it can be used to structure prior dependence in the Bayesian elastic net regression model.”

“The paper develops an approximate Stein's Unbiased Risk Estimator (SURE) for the average mean squared error and establishes asymptotic optimality and regret bounds for a class of machine learning-assisted linear shrinkage estimators.”

“Reproducing two-dimensional galaxy clustering does not guarantee consistent void properties.”

“The paper demonstrates that 'extreme-wave phenomena, often treated as deleterious fluctuations, can be harnessed as structural nonlinearity for scalable, energy-efficient neuromorphic photonic inference.'”

“The paper concludes that the 'Cosmic Himalayas' are not an anomaly, but a natural outcome of structure formation in the Lambda CDM universe.”

“The paper demonstrates a proof-of-concept generative surrogate for reconstructing coherent turbulent dynamics between sparse snapshots.”

“HeteroHBA consistently achieves higher attack success than prior backdoor baselines with comparable or smaller impact on clean accuracy.”

“gg-Mix assumes only independence between the normal means and variances, without imposing any structural restrictions on their distributions.”

“The proposed method substantially improves power when p-values are conservative, while achieving comparable performance to existing methods when p-values are exact.”

“The proposed methods substantially outperform nuclear-norm-based and non-robust alternatives under heavy-tailed noise and contamination.”

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

“The paper proposes 'weighted geometric mean' odds ratios and relative risks, and 'weighted mean' risk differences as transparent summary measures for ordinal outcomes.”

“Simple sufficient conditions are given that ensure the uniform continuity in distribution for Borel transformations of random fields.”

“The paper's core finding is the development of a model that maps upstream turbulence statistics to shock corrugation properties, offering a practical way to understand the observed shock structures.”

“The paper discovers novel sporadic dualities, some of which involve condensation of anyons with non-abelian statistics, i.e. gauging non-invertible one-form global symmetries.”

“A "pointy" limit set implies asymptotic dependence, offering practical geometric criteria for identifying extremal dependence classes.”

“The paper proves a central limit theorem for the Euclidean distance between two independent random vectors uniformly distributed on $l_p^n$-balls.”

“The method couples a high-fidelity, asymptotic-preserving VPL solver with inexpensive, strongly correlated surrogates based on the Vlasov--Poisson--Fokker--Planck (VPFP) and Euler--Poisson (EP) equations.”

“A goodness-of-fit test for the Zeta distribution with unknown parameter.”

“The paper introduces a quasi-maximum likelihood estimation (QMLE) framework, yielding consistent Wald and likelihood ratio test statistics.”

“GASeg achieves state-of-the-art performance on four benchmarks, including COCO-Stuff, Cityscapes, and PASCAL, validating our approach of bridging geometry and appearance via topological information.”

“The article's focus is on completing and studentising Spearman's correlation in the presence of ties.”

“The adder property is preserved despite changes in growth dynamics, emphasizing that the reduction in size variability is a consequence of the growth law rather than simple scaling with mean size.”

“The paper proposes improvements to MCMC algorithms and compares post-processing methods to stabilize the results of Bayesian profile regression mixture models.”

“The paper introduces the new flexible class of intrinsic Whittle--Matérn Gaussian random fields obtained as the solution to a stochastic partial differential equation (SPDE).”

“The paper highlights a clustering effect in bank locations, especially at small scales, and uses socio-economic data to model the intensity function.”

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“The paper presents computational techniques for assessing linear covariance performance using higher-order statistics, constrained optimization, and the unscented transform.”

“The paper highlights the scaling hypothesis for loop-length distributions, the emergence of critical exponents $τ=15/7$, $d_f=7/4$, and $σ=3/7$ in several universality classes.”

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

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“TEAMS accurately reproduces the return time estimates of the DNS at about one fifth the computational cost.”

“Further analysis would require examining the paper's abstract and methodology to understand the specific techniques used for 'Squeezing' and 'Analytic Eigenvalue Control'. The potential impact lies in improved performance and robustness of algorithms that rely on covariance matrix estimation.”

“The title suggests a focus on theoretical analysis within the field of probability and statistics, specifically related to Markov processes and the Wasserstein distance.”

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“In theory it's possible to generate infinitely long coherent 2k videos at 32fps with custom LoRAs with prompts on any timestamps.”

“The paper provides the first general framework for attaining statistically near-optimal performance under broad geometric constraints while preserving computational tractability.”

“The Hinge Theorem establishes that controlling the Likelihood-Ratio Distortion metric is necessary and sufficient for preserving inference.”

“The paper derives moderate deviation estimates for the height function in both the upper and lower tail regimes, with sharp exponents and constants.”

“FLLTPE and FLLTE demonstrated superior performance compared to other estimators.”

“The paper finds that no single model space prior consistently outperforms others across all scenarios, and the MD prior offers a valuable alternative, positioned between commonly used Beta-Binomial priors.”