The following pages link to author name string (P43):
Displaying 50 items.
- Knowledge Distillation Performs Partial Variance Reduction (Q6438237) (← links)
- Reward Collapse in Aligning Large Language Models (Q6438249) (← links)
- Quantifying Process Quality: The Role of Effective Organizational Learning in Software Evolution (Q6438338) (← links)
- Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration (Q6438368) (← links)
- Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching (Q6438381) (← links)
- Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms (Q6438383) (← links)
- StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation (Q6438384) (← links)
- Towards Constituting Mathematical Structures for Learning to Optimize (Q6438409) (← links)
- Predicting Rare Events by Shrinking Towards Proportional Odds (Q6438437) (← links)
- Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization (Q6438439) (← links)
- It begins with a boundary: A geometric view on probabilistically robust learning (Q6438450) (← links)
- Large-scale Ridesharing DARP Instances Based on Real Travel Demand (Q6438461) (← links)
- Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation (Q6438467) (← links)
- How Does Information Bottleneck Help Deep Learning? (Q6438469) (← links)
- Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks (Q6438484) (← links)
- Compression with Bayesian Implicit Neural Representations (Q6438526) (← links)
- Ambient Diffusion: Learning Clean Distributions from Corrupted Data (Q6438543) (← links)
- Efficient Training of Energy-Based Models Using Jarzynski Equality (Q6438573) (← links)
- A Structured Matrix Method for Nonequispaced Neural Operators (Q6438621) (← links)
- Causal discovery for time series with constraint-based model and PMIME measure (Q6438626) (← links)
- Variational $f$-Divergence and Derangements for Discriminative Mutual Information Estimation (Q6438701) (← links)
- Efficient PDE-Constrained optimization under high-dimensional uncertainty using derivative-informed neural operators (Q6438706) (← links)
- Alternating Minimization for Regression with Tropical Rational Functions (Q6438708) (← links)
- Uniform rational polytopes of foliated threefolds and the global ACC (Q6438776) (← links)
- Improving Energy Conserving Descent for Machine Learning: Theory and Practice (Q6438782) (← links)
- Graph Switching Dynamical Systems (Q6438789) (← links)
- Optimization Algorithm Synthesis based on Integral Quadratic Constraints: A Tutorial (Q6438825) (← links)
- Identifiability and Generalizability in Constrained Inverse Reinforcement Learning (Q6438833) (← links)
- Parametric and nonparametric symmetries in graphical models for extremes (Q6438843) (← links)
- Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions (Q6438901) (← links)
- Data-driven modeling and parameter estimation of Nonlinear systems (Q6438913) (← links)
- The Fisher Geometry and Geodesics of the Multivariate Normals, without Differential Geometry (Q6438958) (← links)
- Fatigue detection via sequential testing of biomechanical data using martingale statistic (Q6439012) (← links)
- Do we become wiser with time? On causal equivalence with tiered background knowledge (Q6439028) (← links)
- Neural Differential Recurrent Neural Network with Adaptive Time Steps (Q6439035) (← links)
- Load Asymptotics and Dynamic Speed Optimization for the Greenest Path Problem: A Comprehensive Analysis (Q6439038) (← links)
- State estimation for one-dimensional agro-hydrological processes with model mismatch (Q6439051) (← links)
- Understanding Biofilm-Phage Interactions in Cystic Fibrosis Patients Using Mathematical Frameworks (Q6439056) (← links)
- On dynamical measures of quantum information (Q6439058) (← links)
- Learning in Domain Randomization via Continuous Time Non-Stochastic Control (Q6439071) (← links)
- A Novel Correlation-optimized Deep Learning Method for Wind Speed Forecast (Q6439079) (← links)
- Environmental management and restoration under unified risk and uncertainty using robustified dynamic Orlicz risk (Q6439081) (← links)
- Converse negative imaginary theorems (Q6439086) (← links)
- ADMM-based Detector for Large-scale MIMO Code-domain NOMA Systems (Q6439089) (← links)
- Identifying Subgroups of ICU Patients Using End-to-End Multivariate Time-Series Clustering Algorithm Based on Real-World Vital Signs Data (Q6439108) (← links)
- Formation Control with Unknown Directions and General Coupling Coefficients (Q6439109) (← links)
- Infomorphic networks: Locally learning neural networks derived from partial information decomposition (Q6439113) (← links)
- Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm (Q6439115) (← links)
- Learning Linear Causal Representations from Interventions under General Nonlinear Mixing (Q6439133) (← links)
- Onsite Job Scheduling by Adaptive Genetic Algorithm (Q6439140) (← links)
