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Active Learning MPC Objective Functions from Preferences  🌊Streaming Algorithms
arxiv.org·3d
LoRA and Weight Decay (2023)  🌊Streaming Algorithms
irhum.github.io·2d·Hacker News
Programming Z3  🧮Z3 Solver
z3prover.github.io·5d·Hacker News
A Simple Image Brightness And Contrast Adjustment Technique  ⟷Bidirectional Programming
geo-ant.github.io·3d·Hacker News
Multi-Criteria Integer Programming Model for Route Planning in an Off-Road Combat Environment  🧩WASM Components
arxiv.org·1d
A comprehensive study on ILP acceleration accounting for sparsity, area, energy, data movement using near-memory architecture  🖥️Hardware Architecture
arxiv.org·2d
Convergence rates for gradient descent in the training of overparameterized artificial neural networks with piecewise affine activation  🧠Machine Learning
arxiv.org·1d
New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions  🧠Machine Learning
arxiv.org·2d
Loop Termination and Generalized Collatz Sequences  🎞️Tape Combinatorics
arxiv.org·6d
Convergence Analysis of Two Alternating Iterative Schemes for Tucker Decomposition  🚀SIMD Text Processing
arxiv.org·2d
Functionalization via Structure Completion and Motion Rectification  🕸️Algebraic Topology
arxiv.org·2d
Stochastic Non-Smooth Convex Optimization with Unbounded Gradients  🧮Kolmogorov Bounds
arxiv.org·3d
Motion-Enabled Tomography via Gaussian Mixture Models  🌀Differential Geometry
arxiv.org·2d
Learning Scenario Reduction for Two-Stage Robust Optimization with Discrete Uncertainty  🧠Machine Learning
arxiv.org·6d
DL-Driven Optimization for ISAC System Equipped With Pinching and Movable Antennas  📐Compression Bounds
arxiv.org·2d
TILT: Target-induced loss tilting under covariate shift  📊Learned Metrics
arxiv.org·6d
Normative Networks for Source Separation via Local Plasticity and Dendritic Computation  🧠Neural Codecs
arxiv.org·1d
GELATO: Multi-Material Topology Optimization of Programmable Gel-Elastomer Structures  🌐Computational Topology
arxiv.org·1d
Stochastic Mirror Descent under Iterate-Dependent Markov Noise: Analysis in the Asymptotic and Finite Time Regimes  🧮Kolmogorov Bounds
arxiv.org·3d
Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programming  🔍Type Inference
arxiv.org·1d

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