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Theory

4,950 papers

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Papers

Visualizing the Emergence of Intermediate Visual Patterns in DNNs NIPS 2021
On the Universality of Graph Neural Networks on Large Random Graphs NIPS 2021
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees NIPS 2021
BooVI: Provably Efficient Bootstrapped Value Iteration NIPS 2021
Manifold Topology Divergence: a Framework for Comparing Data Manifolds. NIPS 2021
Neural Active Learning with Performance Guarantees NIPS 2021
Concentration inequalities under sub-Gaussian and sub-exponential conditions NIPS 2021
Cortico-cerebellar networks as decoupling neural interfaces NIPS 2021
On the Expressivity of Markov Reward NIPS 2021
Approximate optimization of convex functions with outlier noise NIPS 2021
On the interplay between data structure and loss function in classification problems NIPS 2021
Relative stability toward diffeomorphisms indicates performance in deep nets NIPS 2021
What can linearized neural networks actually say about generalization? NIPS 2021
Consistent Non-Parametric Methods for Maximizing Robustness NIPS 2021
When Expressivity Meets Trainability: Fewer than $n$ Neurons Can Work NIPS 2021
Adversarial Examples in Multi-Layer Random ReLU Networks NIPS 2021
Evaluating State-of-the-Art Classification Models Against Bayes Optimality NIPS 2021
An Exponential Lower Bound for Linearly Realizable MDP with Constant Suboptimality Gap NIPS 2021
Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation NIPS 2021
Robust Implicit Networks via Non-Euclidean Contractions NIPS 2021
On Provable Benefits of Depth in Training Graph Convolutional Networks NIPS 2021
On the Estimation Bias in Double Q-Learning NIPS 2021
Equivariant Manifold Flows NIPS 2021
Risk Monotonicity in Statistical Learning NIPS 2021
Lower and Upper Bounds on the Pseudo-Dimension of Tensor Network Models NIPS 2021