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Electronic Colloquium on Computational Complexity

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TR26-217 | 28th September 2026
Shubham Bhardwaj, Ramprasad Saptharishi

Hitting Sets for Polynomials with Small Partial Derivative Spaces

We give an explicit hitting set of size $\text{poly}(n,d,r)$ for the class of $n$-variate degree-$d$ polynomials whose partial derivative space is bounded by $r$, over any field $\mathbb{F}$ of characteristic zero. In particular, this yields a polynomial sized hitting set for the class of depth-$3$ powering circuits.

The main ... more >>>


TR26-216 | 26th September 2026
Zhao Song

Matrix Hoeffding and Bernstein Bounds with Sharp Constants for Markov Chains

Matrix concentration for Markov chains was initiated in the expander-walk setting by Garg, Lee, Song, and Srivastava'18 [GLSS18]. However, the constant obtained in [GLSS18] is quite loose, and it is natural to ask whether a tighter proof can yield the same constant as in the independent matrix concentration setting. In ... more >>>


TR26-215 | 25th September 2026
Geoffroy Couteau, Nikolas Melissaris, Tamara Paris

Interactive Proofs of Proximity for Model Evaluation

We study interactive proofs of proximity (IPP) for model evaluation: a resource-limited verifier interacts with an untrusted prover, typically the model owner, to certify statistical properties of a model under an unknown input distribution. Our formulation is shaped by the constraints of practical evaluation: it separates sampling the input distribution ... more >>>



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