The following pages link to author name string (P43):
Displaying 50 items.
- Fast PDE-constrained optimization via self-supervised operator learning (Q6381251) (← links)
- Exponential Graph is Provably Efficient for Decentralized Deep Training (Q6381265) (← links)
- An algorithm for the computation of joint Hawkes moments with exponential kernel (Q6381314) (← links)
- Diversity and Generalization in Neural Network Ensembles (Q6381332) (← links)
- Estimating Mutual Information via Geodesic $k$NN (Q6381348) (← links)
- r-local sensing: Improved algorithm and applications (Q6381367) (← links)
- Tight Concentrations and Confidence Sequences from the Regret of Universal Portfolio (Q6381377) (← links)
- Eigencurve: Optimal Learning Rate Schedule for SGD on Quadratic Objectives with Skewed Hessian Spectrums (Q6381382) (← links)
- Uniform Concentration Bounds toward a Unified Framework for Robust Clustering (Q6381397) (← links)
- Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems (Q6381414) (← links)
- Distributed Principal Component Analysis with Limited Communication (Q6381439) (← links)
- Nonnegative Tucker Decomposition with Beta-divergence for Music Structure Analysis of Audio Signals (Q6381446) (← links)
- Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization (Q6381479) (← links)
- (Almost) Free Incentivized Exploration from Decentralized Learning Agents (Q6381480) (← links)
- Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond (Q6381493) (← links)
- Stable Anderson Acceleration for Deep Learning (Q6381499) (← links)
- Efficient Meta Subspace Optimization (Q6381514) (← links)
- MMD Aggregated Two-Sample Test (Q6381544) (← links)
- Dist2Cycle: A Simplicial Neural Network for Homology Localization (Q6381563) (← links)
- The magnitude vector of images (Q6381564) (← links)
- Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes (Q6381582) (← links)
- Support Recovery with Stochastic Gates: Theory and Application for Linear Models (Q6381707) (← links)
- Generalized Data Weighting via Class-level Gradient Manipulation (Q6381715) (← links)
- Causal Discovery in Linear Structural Causal Models with Deterministic Relations (Q6381756) (← links)
- Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation (Q6381790) (← links)
- Can we learn gradients by Hamiltonian Neural Networks? (Q6381798) (← links)
- A Tensor SVD-based Classification Algorithm Applied to fMRI Data (Q6381801) (← links)
- Optimal Sketching for Trace Estimation (Q6381815) (← links)
- Escaping the abstraction: a foreign function interface for the Unified Form Language [UFL] (Q6381877) (← links)
- Mixed-Integer Programming for the ROADEF/EURO 2020 challenge (Q6381895) (← links)
- Dynamics of Local Elasticity During Training of Neural Nets (Q6381913) (← links)
- OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets (Q6381917) (← links)
- Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification (Q6381941) (← links)
- Inference in high-dimensional online changepoint detection (Q6381969) (← links)
- Coordinate Linear Variance Reduction for Generalized Linear Programming (Q6382001) (← links)
- Constrained Form-Finding of Tension-Compression Structures using Automatic Differentiation (Q6382150) (← links)
- Symmetry-Aware Autoencoders: s-PCA and s-nlPCA (Q6382213) (← links)
- Metric definition of quasiconformality and exceptional sets (Q6382217) (← links)
- Causal Inference with Hidden Mediators (Q6382220) (← links)
- Multi-Objective Constrained Optimization for Energy Applications via Tree Ensembles (Q6382243) (← links)
- Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning (Q6382249) (← links)
- Locally Feasibly Projected Sequential Quadratic Programming for Nonlinear Programming on Arbitrary Smooth Constraint Manifolds (Q6382262) (← links)
- Learning Large Neighborhood Search Policy for Integer Programming (Q6382309) (← links)
- Deep-Learning Based Linear Precoding for MIMO Channels with Finite-Alphabet Signaling (Q6382317) (← links)
- A space of goals: the cognitive geometry of informationally bounded agents (Q6382341) (← links)
- Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective (Q6382349) (← links)
- Physics-Informed Neural Operator for Learning Partial Differential Equations (Q6382362) (← links)
- Robust Deep Reinforcement Learning for Quadcopter Control (Q6382384) (← links)
- AGGLIO: Global Optimization for Locally Convex Functions (Q6382386) (← links)
- Exponential escape efficiency of SGD from sharp minima in non-stationary regime (Q6382405) (← links)
