The following pages link to extracted from (P1689):
Displaying 50 items.
- Local SGD Converges Fast and Communicates Little (Q6302069) (← links)
- LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning (Q6302088) (← links)
- Testing Against Independence and a R\'enyi Information Measure (Q6302205) (← links)
- Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filter (Q6302234) (← links)
- An exact solution for choosing the largest measurement from a sample drawn from an uniform distribution (Q6302267) (← links)
- Adversarial Regularizers in Inverse Problems (Q6302268) (← links)
- Fairness and Sum-Rate Maximization via Joint Channel and Power Allocation in Uplink SCMA Networks (Q6302285) (← links)
- Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators (Q6302353) (← links)
- Tropical Geometry of Phylogenetic Tree Space: A Statistical Perspective (Q6302360) (← links)
- Scaling provable adversarial defenses (Q6302367) (← links)
- Nonlinear Acceleration of CNNs (Q6302417) (← links)
- EigenKernel - A middleware for parallel generalized eigenvalue solvers to attain high scalability and usability (Q6302459) (← links)
- Asymptotic optimality of adaptive importance sampling (Q6302495) (← links)
- Optimal Balancing of Time-Dependent Confounders for Marginal Structural Models (Q6302515) (← links)
- Learning a Code: Machine Learning for Approximate Non-Linear Coded Computation (Q6302535) (← links)
- MOSES: A Streaming Algorithm for Linear Dimensionality Reduction (Q6302538) (← links)
- Near-Optimal Time and Sample Complexities for Solving Discounted Markov Decision Process with a Generative Model (Q6302549) (← links)
- Obtaining fairness using optimal transport theory (Q6302764) (← links)
- Orthogonal Random Forest for Causal Inference (Q6302803) (← links)
- Fractal and Multifractal Properties of Electrographic Recordings of Human Brain Activity: Toward Its Use as a Signal Feature for Machine Learning in Clinical Applications (Q6302850) (← links)
- PAC-Bayes Control: Learning Policies that Provably Generalize to Novel Environments (Q6302882) (← links)
- Linearly Convergent Frank-Wolfe with Backtracking Line-Search (Q6302965) (← links)
- A Curious Case of Curbed Condition (Q6302967) (← links)
- Non-asymptotic Identification of LTI Systems from a Single Trajectory (Q6303035) (← links)
- Cartan Geometry in Modal Homotopy Type Theory (Q6303061) (← links)
- Impact of Channel Models on the End-to-End Performance of mmWave Cellular Networks (Q6303083) (← links)
- Compressed Sensing with Deep Image Prior and Learned Regularization (Q6303126) (← links)
- Banach Wasserstein GAN (Q6303147) (← links)
- A Positivity-Preserving Limiting Strategy for Locally-Implicit Lax-Wendroff Discontinuous Galerkin Methods (Q6303172) (← links)
- Maximum a Posteriori Policy Optimisation (Q6303189) (← links)
- Kiselyov's geometry (Q6303195) (← links)
- Proximal Splitting Meets Variance Reduction (Q6303231) (← links)
- Simultaneous Signal Subspace Rank and Model Selection with an Application to Single-snapshot Source Localization (Q6303234) (← links)
- Validation of Inventory models for Single-echelon Supply Chain using Discrete-event Simulation (Q6303242) (← links)
- RUDDER: Return Decomposition for Delayed Rewards (Q6303288) (← links)
- Bayesian Optimization of Combinatorial Structures (Q6303397) (← links)
- A Tour of Reinforcement Learning: The View from Continuous Control (Q6303462) (← links)
- Boulevard: Regularized Stochastic Gradient Boosted Trees and Their Limiting Distribution (Q6303492) (← links)
- Shape Optimization using the Finite Element Method on Multiple Meshes (Q6303495) (← links)
- Constrained particle-mesh projections in a hybridized discontinuous Galerkin framework with applications to advection-dominated flows (Q6303510) (← links)
- Parallel solution, adaptivity, computational convergence, and open-source code of 2d and 3d pressurized phase-field fracture problems (Q6303511) (← links)
- Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling (Q6303545) (← links)
- A scalable H-matrix approach for the solution of boundary integral equations on multi-GPU clusters (Q6303698) (← links)
- Sampling and Reconstruction of Signals on Product Graphs (Q6303715) (← links)
- LeapsAndBounds: A Method for Approximately Optimal Algorithm Configuration (Q6303773) (← links)
- Deepcode: Feedback Codes via Deep Learning (Q6303776) (← links)
- Training behavior of deep neural network in frequency domain (Q6303821) (← links)
- Empirical fixed point bifurcation analysis (Q6303837) (← links)
- The em-convex rewrite system (Q6303888) (← links)
- A Tutorial on Bayesian Optimization (Q6303964) (← links)