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Theory

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Papers

Learning with Operator-valued Kernels in Reproducing Kernel Krein Spaces NeurIPS 2020 Least General Generalizations in Description Logic: Verification and Existence AAAI 2020 LEEP: A New Measure to Evaluate Transferability of Learned Representations ICML 2020 Lifting Preferences over Alternatives to Preferences over Sets of Alternatives: The Complexity of Recognizing Desirable Families of Sets AAAI 2020 Limitations of Incentive Compatibility on Discrete Type Spaces AAAI 2020 Linear Lower Bounds and Conditioning of Differentiable Games ICML 2020 Linear Mode Connectivity and the Lottery Ticket Hypothesis ICML 2020 Linear-Sample Learning of Low-Rank Distributions NeurIPS 2020 Lipschitz constant estimation of Neural Networks via sparse polynomial optimization ICLR 2020 Local Deep Implicit Functions for 3D Shape CVPR 2020 Lower Bounds and Faster Algorithms for Equality Constraints IJCAI 2020 Lower Bounds for Approximate Knowledge Compilation IJCAI 2020 Lower Bounds for Parallel and Randomized Convex Optimization JMLR 2020 Lower Bounds for Testing Graphical Models: Colorings and Antiferromagnetic Ising Models JMLR 2020 Margins are Insufficient for Explaining Gradient Boosting NeurIPS 2020 Maximum-and-Concatenation Networks ICML 2020 Measuring Robustness to Natural Distribution Shifts in Image Classification NeurIPS 2020 Measuring the Reliability of Reinforcement Learning Algorithms ICLR 2020 Metrics also Disagree in the Low Scoring Range: Revisiting Summarization Evaluation Metrics COLING 2020 Minimax Bounds for Generalized Linear Models NeurIPS 2020 Minimax Classification with 0-1 Loss and Performance Guarantees NeurIPS 2020 Minimax Nonparametric Parallelism Test JMLR 2020 Minimax Testing of Identity to a Reference Ergodic Markov Chain AISTATS 2020 Model-Based Synthesis of Incremental and Correct Estimators for Discrete Event Systems IJCAI 2020 Model Checking Temporal Epistemic Logic under Bounded Recall AAAI 2020