Summary of On Minimizing Adversarial Counterfactual Error in Adversarial Rl, by Roman Belaire et al.
On Minimizing Adversarial Counterfactual Error in Adversarial RLby Roman Belaire, Arunesh Sinha, Pradeep VarakanthamFirst submitted…
Summary of Concurrent Training and Layer Pruning Of Deep Neural Networks, by Valentin Frank Ingmar Guenter and Athanasios Sideris
Concurrent Training and Layer Pruning of Deep Neural Networksby Valentin Frank Ingmar Guenter, Athanasios SiderisFirst…
Summary of On Pi Controllers For Updating Lagrange Multipliers in Constrained Optimization, by Motahareh Sohrabi et al.
On PI Controllers for Updating Lagrange Multipliers in Constrained Optimizationby Motahareh Sohrabi, Juan Ramirez, Tianyue…
Summary of Error Bounds Of Supervised Classification From Information-theoretic Perspective, by Binchuan Qi
Error Bounds of Supervised Classification from Information-Theoretic Perspectiveby Binchuan QiFirst submitted to arxiv on: 7…
Summary of User Intent Recognition and Semantic Cache Optimization-based Query Processing Framework Using Cflis and Mgr-lau, by Sakshi Mahendru
User Intent Recognition and Semantic Cache Optimization-Based Query Processing Framework using CFLIS and MGR-LAUby Sakshi…
Summary of Self-play with Adversarial Critic: Provable and Scalable Offline Alignment For Language Models, by Xiang Ji et al.
Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language Modelsby Xiang Ji, Sanjeev…
Summary of Approximation-aware Bayesian Optimization, by Natalie Maus et al.
Approximation-Aware Bayesian Optimizationby Natalie Maus, Kyurae Kim, Geoff Pleiss, David Eriksson, John P. Cunningham, Jacob…
Summary of Interpretable Lightweight Transformer Via Unrolling Of Learned Graph Smoothness Priors, by Tam Thuc Do et al.
Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priorsby Tam Thuc Do, Parham Eftekhar,…
Summary of Improving Physics-augmented Continuum Neural Radiance Field-based Geometry-agnostic System Identification with Lagrangian Particle Optimization, by Takuhiro Kaneko
Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimizationby Takuhiro KanekoFirst…
Summary of Theoretical Guarantees For Variational Inference with Fixed-variance Mixture Of Gaussians, by Tom Huix et al.
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussiansby Tom Huix, Anna Korba, Alain…