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Theory

4,950 papers

Papers per year

Papers

An Encoder Attribution Analysis for Dense Passage Retriever in Open-Domain Question Answering NAACL 2022
Performance Interfaces for Network Functions NSDI 2022
Differential Network Analysis NSDI 2022
A Transformational Characterization of Unconditionally Equivalent Bayesian Networks PGM 2022
Certifiable Robot Design Optimization using Differentiable Programming RSS 2022
Robustness of model predictions under extension UAI 2022
Safety aware changepoint detection for piecewise i.i.d. bandits UAI 2022
Causal forecasting: generalization bounds for autoregressive models UAI 2022
Finite-horizon equilibria for neuro-symbolic concurrent stochastic games UAI 2022
Stability of SGD: Tightness analysis and improved bounds UAI 2022
Agree To Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations WACV 2022
Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning NIPS 2021
Revisiting Model Stitching to Compare Neural Representations NIPS 2021
Oracle Complexity in Nonsmooth Nonconvex Optimization NIPS 2021
Learning to Select Exogenous Events for Marked Temporal Point Process NIPS 2021
What training reveals about neural network complexity NIPS 2021
Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization NIPS 2021
Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples NIPS 2021
Finite Sample Analysis of Average-Reward TD Learning and $Q$-Learning NIPS 2021
Early-stopped neural networks are consistent NIPS 2021
Do Input Gradients Highlight Discriminative Features? NIPS 2021
On Calibration and Out-of-Domain Generalization NIPS 2021
Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent NIPS 2021
Explicit loss asymptotics in the gradient descent training of neural networks NIPS 2021
On the Existence of The Adversarial Bayes Classifier NIPS 2021