Theory
5,579 papers
Papers per year
1
2
3
3
9
4
32
25
33
25
39
38
47
78
67
80
103
156
267
383
486
592
713
822
805
612
154
2000
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Papers
On Low-rank Trace Regression under General Sampling Distribution
JMLR 2022
On Margin Maximization in Linear and ReLU Networks
NeurIPS 2022
On Margins and Derandomisation in PAC-Bayes
AISTATS 2022
On Margins and Generalisation for Voting Classifiers
NeurIPS 2022
On Measuring Causal Contributions via do-interventions
ICML 2022
On Numerical Integration in Neural Ordinary Differential Equations
ICML 2022
On Optimal Learning Under Targeted Data Poisoning
NeurIPS 2022
On Redundancy and Diversity in Cell-based Neural Architecture Search
ICLR 2022
On Robust Multiclass Learnability
NeurIPS 2022
On Scrambling Phenomena for Randomly Initialized Recurrent Networks
NeurIPS 2022
On the approximation properties of recurrent encoder-decoder architectures
ICLR 2022
On the Certified Robustness for Ensemble Models and Beyond
ICLR 2022
On the Complexity of Adversarial Decision Making
NeurIPS 2022
On the Complexity of Calculating Approval-Based Winners in Candidates-Embedded Metrics
IJCAI 2022
On the Complexity of Inductively Learning Guarded Clauses
AAAI 2022
On the Computational Complexity of Model Reconciliations
IJCAI 2022
On the Consistency of Max-Margin Losses
AISTATS 2022
On the Convergence Rates of Policy Gradient Methods
JMLR 2022
On the difficulty of learning chaotic dynamics with RNNs
NeurIPS 2022
On the Effectiveness of Iterative Learning Control
L4DC 2022
On the Existence of Universal Lottery Tickets
ICLR 2022
On the Expressivity of Markov Reward (Extended Abstract)
IJCAI 2022
On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions
ICML 2022
On the First-Order Rewritability of Ontology-Mediated Queries in Linear Temporal Logic (Extended Abstract)
IJCAI 2022
On the Generalization Analysis of Adversarial Learning
ICML 2022