conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Theory

4,950 papers

Papers per year

Papers

Policy Analysis using Synthetic Controls in Continuous-Time ICML 2021
Sample Complexity of Robust Linear Classification on Separated Data ICML 2021
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction ICML 2021
The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning ICML 2021
Narrow Margins: Classification, Margins and Fat Tails ICML 2021
Differentially Private Correlation Clustering ICML 2021
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization ICML 2021
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data ICML 2021
Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps ICML 2021
Scaling Properties of Deep Residual Networks ICML 2021
Generalised Lipschitz Regularisation Equals Distributional Robustness ICML 2021
Measuring Robustness in Deep Learning Based Compressive Sensing ICML 2021
Adversarial Robustness Guarantees for Random Deep Neural Networks ICML 2021
Toward Better Generalization Bounds with Locally Elastic Stability ICML 2021
On the Inherent Regularization Effects of Noise Injection During Training ICML 2021
Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach ICML 2021
Kernel-Based Reinforcement Learning: A Finite-Time Analysis ICML 2021
Attention is not all you need: pure attention loses rank doubly exponentially with depth ICML 2021
How rotational invariance of common kernels prevents generalization in high dimensions ICML 2021
Bilinear Classes: A Structural Framework for Provable Generalization in RL ICML 2021
Provably Strict Generalisation Benefit for Equivariant Models ICML 2021
Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs ICML 2021
Revealing the Structure of Deep Neural Networks via Convex Duality ICML 2021
Train simultaneously, generalize better: Stability of gradient-based minimax learners ICML 2021
Uncertainty Principles of Encoding GANs ICML 2021