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Theory

4,950 papers

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Papers

On the Stochastic Stability of Deep Markov Models NIPS 2021
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation NIPS 2021
Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates NIPS 2021
On the Power of Differentiable Learning versus PAC and SQ Learning NIPS 2021
Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression NIPS 2021
On the Power of Edge Independent Graph Models NIPS 2021
RL for Latent MDPs: Regret Guarantees and a Lower Bound NIPS 2021
Information-theoretic generalization bounds for black-box learning algorithms NIPS 2021
Causal Effect Inference for Structured Treatments NIPS 2021
Choose a Transformer: Fourier or Galerkin NIPS 2021
Never Go Full Batch (in Stochastic Convex Optimization) NIPS 2021
A/B/n Testing with Control in the Presence of Subpopulations NIPS 2021
Charting and Navigating the Space of Solutions for Recurrent Neural Networks NIPS 2021
On the Second-order Convergence Properties of Random Search Methods NIPS 2021
Noether’s Learning Dynamics: Role of Symmetry Breaking in Neural Networks NIPS 2021
Reward is enough for convex MDPs NIPS 2021
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis NIPS 2021
On the Algorithmic Stability of Adversarial Training NIPS 2021
Shapley Residuals: Quantifying the limits of the Shapley value for explanations NIPS 2021
Towards Sharper Generalization Bounds for Structured Prediction NIPS 2021
Representation Costs of Linear Neural Networks: Analysis and Design NIPS 2021
Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification NIPS 2021
Minimax Regret for Stochastic Shortest Path NIPS 2021
Turing Completeness of Bounded-Precision Recurrent Neural Networks NIPS 2021
Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models NIPS 2021