Aditya Krishnan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Lifelong Learning

Density Estimation

Sparsity Inducing

Top Venues

Publications

Sebastian Bruch, Aditya Krishnan, Franco Maria Nardini
Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search. CoRR (2024)
Vladimir Braverman, Robert Krauthgamer, Aditya Krishnan, Shay Sapir
Lower Bounds for Pseudo-Deterministic Counting in a Stream. CoRR (2023)
Vladimir Braverman, Robert Krauthgamer, Aditya Krishnan, Shay Sapir
Lower Bounds for Pseudo-Deterministic Counting in a Stream. ICALP (2023)
Vladimir Braverman, Aditya Krishnan, Christopher Musco
Sublinear time spectral density estimation. STOC (2022)
Aditya Krishnan, Edo Liberty
Projective Clustering Product Quantization. CoRR (2021)
Vladimir Braverman, Aditya Krishnan, Christopher Musco
Linear and Sublinear Time Spectral Density Estimation. CoRR (2021)
Haoran Li, Aditya Krishnan, Jingfeng Wu, Soheil Kolouri, Praveen K. Pilly, Vladimir Braverman
Lifelong Learning with Sketched Structural Regularization. CoRR (2021)
Haoran Li, Aditya Krishnan, Jingfeng Wu, Soheil Kolouri, Praveen K. Pilly, Vladimir Braverman
Lifelong Learning with Sketched Structural Regularization. ACML (2021)
Vladimir Braverman, Robert Krauthgamer, Aditya Krishnan, Shay Sapir
Near-Optimal Entrywise Sampling of Numerically Sparse Matrices. COLT (2021)
Max Bender, Jacob Gilbert, Aditya Krishnan, Kirk Pruhs
Competitively Pricing Parking in a Tree. CoRR (2020)
Vladimir Braverman, Robert Krauthgamer, Aditya Krishnan, Roi Sinoff
Schatten Norms in Matrix Streams: Hello Sparsity, Goodbye Dimension. ICML (2020)
Vladimir Braverman, Robert Krauthgamer, Aditya Krishnan, Shay Sapir
Near-Optimal Entrywise Sampling of Numerically Sparse Matrices. CoRR (2020)
Max Bender, Jacob Gilbert, Aditya Krishnan, Kirk Pruhs
Competitively Pricing Parking in a Tree. WINE (2020)
Vladimir Braverman, Robert Krauthgamer, Aditya Krishnan, Roi Sinoff
Schatten Norms in Matrix Streams: Hello Sparsity, Goodbye Dimension. CoRR (2019)
Aditya Krishnan, Sidhanth Mohanty, David P. Woodruff
On Sketching the q to p norms. CoRR (2018)
Aditya Krishnan, Sidhanth Mohanty, David P. Woodruff
On Sketching the q to p Norms. APPROX-RANDOM (2018)