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Learning Theory

5,312 papers

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Papers

Parameter-free HE-friendly Logistic Regression NIPS 2021
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences ICML 2021
PAC-Learning for Strategic Classification ICML 2021
On the High Accuracy Limitation of Adaptive Property Estimation AISTATS 2021
Information-theoretic generalization bounds for black-box learning algorithms NIPS 2021
Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations NIPS 2021
Characterizing the Loss Landscape in Non-Negative Matrix Factorization AAAI 2021
Probing for idiomaticity in vector space models EACL 2021
Self-Attention Networks Can Process Bounded Hierarchical Languages ACL 2021
Query Complexity of Adversarial Attacks ICML 2021
Provably Efficient Algorithms for Multi-Objective Competitive RL ICML 2021
An Exponential Lower Bound for Linearly Realizable MDP with Constant Suboptimality Gap NIPS 2021
Prediction with Finitely many Errors Almost Surely AISTATS 2021
Stability and Generalization for Randomized Coordinate Descent IJCAI 2021
On the Estimation of Network Complexity: Dimension of Graphons JMLR 2021
Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks AAAI 2021
A Theory of the Risk for Optimization with Relaxation and its Application to Support Vector Machines JMLR 2021
Boosting in the Presence of Massart Noise COLT 2021
Bandits with many optimal arms NIPS 2021
Limitations of Autoregressive Models and Their Alternatives NAACL 2021
Deciding What to Learn: A Rate-Distortion Approach ICML 2021
An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias NIPS 2021
Learning Artificial Intelligence: Insights into How Youth Encounter and Build Understanding of AI Concepts AAAI 2021
Revisiting the Negative Data of Distantly Supervised Relation Extraction IJCNLP 2021
Nonlinear Two-Time-Scale Stochastic Approximation: Convergence and Finite-Time Performance L4DC 2021